65 skills found · Page 1 of 3
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jlegewie / ZotfileZotero plugin to manage your attachments: automatically rename, move, and attach PDFs (or other files) to Zotero items, sync PDFs from your Zotero library to your (mobile) PDF reader (e.g. an iPad, Android tablet, etc.), and extract PDF annotations.
gjTool / Pdfh5web/h5/移动端PDF预览插件，可手势缩放。支持npm install和script标签引入
ellekasai / Resumecards[Unmaintained] A Markdown based resume generator. It looks great on mobile/desktop and can be saved as PDF.
thepowerfuldeez / Facemesh.pytorchThis is the PyTorch implementation of paper Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (https://arxiv.org/pdf/1907.06724.pdf)
molyswu / Hand Detectionusing Neural Networks (SSD) on Tensorflow. This repo documents steps and scripts used to train a hand detector using Tensorflow (Object Detection API). As with any DNN based task, the most expensive (and riskiest) part of the process has to do with finding or creating the right (annotated) dataset. I was interested mainly in detecting hands on a table (egocentric view point). I experimented first with the [Oxford Hands Dataset](http://www.robots.ox.ac.uk/~vgg/data/hands/) (the results were not good). I then tried the [Egohands Dataset](http://vision.soic.indiana.edu/projects/egohands/) which was a much better fit to my requirements. The goal of this repo/post is to demonstrate how neural networks can be applied to the (hard) problem of tracking hands (egocentric and other views). Better still, provide code that can be adapted to other uses cases. If you use this tutorial or models in your research or project, please cite [this](#citing-this-tutorial). Here is the detector in action. <img src="images/hand1.gif" width="33.3%"><img src="images/hand2.gif" width="33.3%"><img src="images/hand3.gif" width="33.3%"> Realtime detection on video stream from a webcam . <img src="images/chess1.gif" width="33.3%"><img src="images/chess2.gif" width="33.3%"><img src="images/chess3.gif" width="33.3%"> Detection on a Youtube video. Both examples above were run on a macbook pro **CPU** (i7, 2.5GHz, 16GB). Some fps numbers are: | FPS | Image Size | Device| Comments| | ------------- | ------------- | ------------- | ------------- | | 21 | 320 * 240 | Macbook pro (i7, 2.5GHz, 16GB) | Run without visualizing results| | 16 | 320 * 240 | Macbook pro (i7, 2.5GHz, 16GB) | Run while visualizing results (image above) | | 11 | 640 * 480 | Macbook pro (i7, 2.5GHz, 16GB) | Run while visualizing results (image above) | > Note: The code in this repo is written and tested with Tensorflow `1.4.0-rc0`. Using a different version may result in [some errors](https://github.com/tensorflow/models/issues/1581). You may need to [generate your own frozen model](https://pythonprogramming.net/testing-custom-object-detector-tensorflow-object-detection-api-tutorial/?completed=/training-custom-objects-tensorflow-object-detection-api-tutorial/) graph using the [model checkpoints](model-checkpoint) in the repo to fit your TF version. **Content of this document** - Motivation - Why Track/Detect hands with Neural Networks - Data preparation and network training in Tensorflow (Dataset, Import, Training) - Training the hand detection Model - Using the Detector to Detect/Track hands - Thoughts on Optimizations. > P.S if you are using or have used the models provided here, feel free to reach out on twitter ([@vykthur](https://twitter.com/vykthur)) and share your work! ## Motivation - Why Track/Detect hands with Neural Networks? There are several existing approaches to tracking hands in the computer vision domain. Incidentally, many of these approaches are rule based (e.g extracting background based on texture and boundary features, distinguishing between hands and background using color histograms and HOG classifiers,) making them not very robust. For example, these algorithms might get confused if the background is unusual or in situations where sharp changes in lighting conditions cause sharp changes in skin color or the tracked object becomes occluded.(see [here for a review](https://www.cse.unr.edu/~bebis/handposerev.pdf) paper on hand pose estimation from the HCI perspective) With sufficiently large datasets, neural networks provide opportunity to train models that perform well and address challenges of existing object tracking/detection algorithms - varied/poor lighting, noisy environments, diverse viewpoints and even occlusion. The main drawbacks to usage for real-time tracking/detection is that they can be complex, are relatively slow compared to tracking-only algorithms and it can be quite expensive to assemble a good dataset. But things are changing with advances in fast neural networks. Furthermore, this entire area of work has been made more approachable by deep learning frameworks (such as the tensorflow object detection api) that simplify the process of training a model for custom object detection. More importantly, the advent of fast neural network models like ssd, faster r-cnn, rfcn (see [here](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#coco-trained-models-coco-models) ) etc make neural networks an attractive candidate for real-time detection (and tracking) applications. Hopefully, this repo demonstrates this. > If you are not interested in the process of training the detector, you can skip straight to applying the [pretrained model I provide in detecting hands](#detecting-hands). Training a model is a multi-stage process (assembling dataset, cleaning, splitting into training/test partitions and generating an inference graph). While I lightly touch on the details of these parts, there are a few other tutorials cover training a custom object detector using the tensorflow object detection api in more detail[ see [here](https://pythonprogramming.net/training-custom-objects-tensorflow-object-detection-api-tutorial/) and [here](https://towardsdatascience.com/how-to-train-your-own-object-detector-with-tensorflows-object-detector-api-bec72ecfe1d9) ]. I recommend you walk through those if interested in training a custom object detector from scratch. ## Data preparation and network training in Tensorflow (Dataset, Import, Training) **The Egohands Dataset** The hand detector model is built using data from the [Egohands Dataset](http://vision.soic.indiana.edu/projects/egohands/) dataset. This dataset works well for several reasons. It contains high quality, pixel level annotations (>15000 ground truth labels) where hands are located across 4800 images. All images are captured from an egocentric view (Google glass) across 48 different environments (indoor, outdoor) and activities (playing cards, chess, jenga, solving puzzles etc). <img src="images/egohandstrain.jpg" width="100%"> If you will be using the Egohands dataset, you can cite them as follows: > Bambach, Sven, et al. "Lending a hand: Detecting hands and recognizing activities in complex egocentric interactions." Proceedings of the IEEE International Conference on Computer Vision. 2015. The Egohands dataset (zip file with labelled data) contains 48 folders of locations where video data was collected (100 images per folder). ``` -- LOCATION_X -- frame_1.jpg -- frame_2.jpg ... -- frame_100.jpg -- polygons.mat // contains annotations for all 100 images in current folder -- LOCATION_Y -- frame_1.jpg -- frame_2.jpg ... -- frame_100.jpg -- polygons.mat // contains annotations for all 100 images in current folder ``` **Converting data to Tensorflow Format** Some initial work needs to be done to the Egohands dataset to transform it into the format (`tfrecord`) which Tensorflow needs to train a model. This repo contains `egohands_dataset_clean.py` a script that will help you generate these csv files. - Downloads the egohands datasets - Renames all files to include their directory names to ensure each filename is unique - Splits the dataset into train (80%), test (10%) and eval (10%) folders. - Reads in `polygons.mat` for each folder, generates bounding boxes and visualizes them to ensure correctness (see image above). - Once the script is done running, you should have an images folder containing three folders - train, test and eval. Each of these folders should also contain a csv label document each - `train_labels.csv`, `test_labels.csv` that can be used to generate `tfrecords` Note: While the egohands dataset provides four separate labels for hands (own left, own right, other left, and other right), for my purpose, I am only interested in the general `hand` class and label all training data as `hand`. You can modify the data prep script to generate `tfrecords` that support 4 labels. Next: convert your dataset + csv files to tfrecords. A helpful guide on this can be found [here](https://pythonprogramming.net/creating-tfrecord-files-tensorflow-object-detection-api-tutorial/).For each folder, you should be able to generate `train.record`, `test.record` required in the training process. ## Training the hand detection Model Now that the dataset has been assembled (and your tfrecords), the next task is to train a model based on this. With neural networks, it is possible to use a process called [transfer learning](https://www.tensorflow.org/tutorials/image_retraining) to shorten the amount of time needed to train the entire model. This means we can take an existing model (that has been trained well on a related domain (here image classification) and retrain its final layer(s) to detect hands for us. Sweet!. Given that neural networks sometimes have thousands or millions of parameters that can take weeks or months to train, transfer learning helps shorten training time to possibly hours. Tensorflow does offer a few models (in the tensorflow [model zoo](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md#coco-trained-models-coco-models)) and I chose to use the `ssd_mobilenet_v1_coco` model as my start point given it is currently (one of) the fastest models (read the SSD research [paper here](https://arxiv.org/pdf/1512.02325.pdf)). The training process can be done locally on your CPU machine which may take a while or better on a (cloud) GPU machine (which is what I did). For reference, training on my macbook pro (tensorflow compiled from source to take advantage of the mac's cpu architecture) the maximum speed I got was 5 seconds per step as opposed to the ~0.5 seconds per step I got with a GPU. For reference it would take about 12 days to run 200k steps on my mac (i7, 2.5GHz, 16GB) compared to ~5hrs on a GPU. > **Training on your own images**: Please use the [guide provided by Harrison from pythonprogramming](https://pythonprogramming.net/training-custom-objects-tensorflow-object-detection-api-tutorial/) on how to generate tfrecords given your label csv files and your images. The guide also covers how to start the training process if training locally. [see [here] (https://pythonprogramming.net/training-custom-objects-tensorflow-object-detection-api-tutorial/)]. If training in the cloud using a service like GCP, see the [guide here](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/running_on_cloud.md). As the training process progresses, the expectation is that total loss (errors) gets reduced to its possible minimum (about a value of 1 or thereabout). By observing the tensorboard graphs for total loss(see image below), it should be possible to get an idea of when the training process is complete (total loss does not decrease with further iterations/steps). I ran my training job for 200k steps (took about 5 hours) and stopped at a total Loss (errors) value of 2.575.(In retrospect, I could have stopped the training at about 50k steps and gotten a similar total loss value). With tensorflow, you can also run an evaluation concurrently that assesses your model to see how well it performs on the test data. A commonly used metric for performance is mean average precision (mAP) which is single number used to summarize the area under the precision-recall curve. mAP is a measure of how well the model generates a bounding box that has at least a 50% overlap with the ground truth bounding box in our test dataset. For the hand detector trained here, the mAP value was **0.9686@0.5IOU**. mAP values range from 0-1, the higher the better. <img src="images/accuracy.jpg" width="100%"> Once training is completed, the trained inference graph (`frozen_inference_graph.pb`) is then exported (see the earlier referenced guides for how to do this) and saved in the `hand_inference_graph` folder. Now its time to do some interesting detection. ## Using the Detector to Detect/Track hands If you have not done this yet, please following the guide on installing [Tensorflow and the Tensorflow object detection api](https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/installation.md). This will walk you through setting up the tensorflow framework, cloning the tensorflow github repo and a guide on - Load the `frozen_inference_graph.pb` trained on the hands dataset as well as the corresponding label map. In this repo, this is done in the `utils/detector_utils.py` script by the `load_inference_graph` method. ```python detection_graph = tf.Graph() with detection_graph.as_default(): od_graph_def = tf.GraphDef() with tf.gfile.GFile(PATH_TO_CKPT, 'rb') as fid: serialized_graph = fid.read() od_graph_def.ParseFromString(serialized_graph) tf.import_graph_def(od_graph_def, name='') sess = tf.Session(graph=detection_graph) print("> ====== Hand Inference graph loaded.") ``` - Detect hands. In this repo, this is done in the `utils/detector_utils.py` script by the `detect_objects` method. ```python (boxes, scores, classes, num) = sess.run( [detection_boxes, detection_scores, detection_classes, num_detections], feed_dict={image_tensor: image_np_expanded}) ``` - Visualize detected bounding detection_boxes. In this repo, this is done in the `utils/detector_utils.py` script by the `draw_box_on_image` method. This repo contains two scripts that tie all these steps together. - detect_multi_threaded.py : A threaded implementation for reading camera video input detection and detecting. Takes a set of command line flags to set parameters such as `--display` (visualize detections), image parameters `--width` and `--height`, videe `--source` (0 for camera) etc. - detect_single_threaded.py : Same as above, but single threaded. This script works for video files by setting the video source parameter videe `--source` (path to a video file). ```cmd # load and run detection on video at path "videos/chess.mov" python detect_single_threaded.py --source videos/chess.mov ``` > Update: If you do have errors loading the frozen inference graph in this repo, feel free to generate a new graph that fits your TF version from the model-checkpoint in this repo. Use the [export_inference_graph.py](https://github.com/tensorflow/models/blob/master/research/object_detection/export_inference_graph.py) script provided in the tensorflow object detection api repo. More guidance on this [here](https://pythonprogramming.net/testing-custom-object-detector-tensorflow-object-detection-api-tutorial/?completed=/training-custom-objects-tensorflow-object-detection-api-tutorial/). ## Thoughts on Optimization. A few things that led to noticeable performance increases. - Threading: Turns out that reading images from a webcam is a heavy I/O event and if run on the main application thread can slow down the program. I implemented some good ideas from [Adrian Rosebuck](https://www.pyimagesearch.com/2017/02/06/faster-video-file-fps-with-cv2-videocapture-and-opencv/) on parrallelizing image capture across multiple worker threads. This mostly led to an FPS increase of about 5 points. - For those new to Opencv, images from the `cv2.read()` method return images in [BGR format](https://www.learnopencv.com/why-does-opencv-use-bgr-color-format/). Ensure you convert to RGB before detection (accuracy will be much reduced if you dont). ```python cv2.cvtColor(image_np, cv2.COLOR_BGR2RGB) ``` - Keeping your input image small will increase fps without any significant accuracy drop.(I used about 320 x 240 compared to the 1280 x 720 which my webcam provides). - Model Quantization. Moving from the current 32 bit to 8 bit can achieve up to 4x reduction in memory required to load and store models. One way to further speed up this model is to explore the use of [8-bit fixed point quantization](https://heartbeat.fritz.ai/8-bit-quantization-and-tensorflow-lite-speeding-up-mobile-inference-with-low-precision-a882dfcafbbd). Performance can also be increased by a clever combination of tracking algorithms with the already decent detection and this is something I am still experimenting with. Have ideas for optimizing better, please share! <img src="images/general.jpg" width="100%"> Note: The detector does reflect some limitations associated with the training set. This includes non-egocentric viewpoints, very noisy backgrounds (e.g in a sea of hands) and sometimes skin tone. There is opportunity to improve these with additional data. ## Integrating Multiple DNNs. One way to make things more interesting is to integrate our new knowledge of where "hands" are with other detectors trained to recognize other objects. Unfortunately, while our hand detector can in fact detect hands, it cannot detect other objects (a factor or how it is trained). To create a detector that classifies multiple different objects would mean a long involved process of assembling datasets for each class and a lengthy training process. > Given the above, a potential strategy is to explore structures that allow us **efficiently** interleave output form multiple pretrained models for various object classes and have them detect multiple objects on a single image. An example of this is with my primary use case where I am interested in understanding the position of objects on a table with respect to hands on same table. I am currently doing some work on a threaded application that loads multiple detectors and outputs bounding boxes on a single image. More on this soon.
staticallyio / ScreenshotA screenshot API to convert web to image or PDF. Supports desktop and mobile views.
vinPopulaire / MEC OffloadingCode for Intelligent Dynamic Data Offloading in a Competitive Mobile Edge Computing Market paper https://www.mdpi.com/1999-5903/11/5/118/pdf
jettbrains / L W3C Strategic Highlights September 2019 This report was prepared for the September 2019 W3C Advisory Committee Meeting (W3C Member link). See the accompanying W3C Fact Sheet — September 2019. For the previous edition, see the April 2019 W3C Strategic Highlights. For future editions of this report, please consult the latest version. A Chinese translation is available. ☰ Contents Introduction Future Web Standards Meeting Industry Needs Web Payments Digital Publishing Media and Entertainment Web & Telecommunications Real-Time Communications (WebRTC) Web & Networks Automotive Web of Things Strengthening the Core of the Web HTML CSS Fonts SVG Audio Performance Web Performance WebAssembly Testing Browser Testing and Tools WebPlatform Tests Web of Data Web for All Security, Privacy, Identity Internationalization (i18n) Web Accessibility Outreach to the world W3C Developer Relations W3C Training Translations W3C Liaisons Introduction This report highlights recent work of enhancement of the existing landscape of the Web platform and innovation for the growth and strength of the Web. 33 working groups and a dozen interest groups enable W3C to pursue its mission through the creation of Web standards, guidelines, and supporting materials. We track the tremendous work done across the Consortium through homogeneous work-spaces in Github which enables better monitoring and management. We are in the middle of a period where we are chartering numerous working groups which demonstrate the rapid degree of change for the Web platform: After 4 years, we are nearly ready to publish a Payment Request API Proposed Recommendation and we need to soon charter follow-on work. In the last year we chartered the Web Payment Security Interest Group. In the last year we chartered the Web Media Working Group with 7 specifications for next generation Media support on the Web. We have Accessibility Guidelines under W3C Member review which includes Silver, a new approach. We have just launched the Decentralized Identifier Working Group which has tremendous potential because Decentralized Identifier (DID) is an identifier that is globally unique, resolveable with high availability, and cryptographically verifiable. We have Privacy IG (PING) under W3C Member review which strengthens our focus on the tradeoff between privacy and function. We have a new CSS charter under W3C Member review which maps the group's work for the next three years. In this period, W3C and the WHATWG have succesfully completed the negotiation of a Memorandum of Understanding rooted in the mutual belief that that having two distinct specifications claiming to be normative is generally harmful for the Web community. The MOU, signed last May, describes how the two organizations are to collaborate on the development of a single authoritative version of the HTML and DOM specifications. W3C subsequently rechartered the HTML Working Group to assist the W3C community in raising issues and proposing solutions for the HTML and DOM specifications, and for the production of W3C Recommendations from WHATWG Review Drafts. As the Web evolves continuously, some groups are looking for ways for specifications to do so as well. So-called "evergreen recommendations" or "living standards" aim to track continuous development (and maintenance) of features, on a feature-by-feature basis, while getting review and patent commitments. We see the maturation and further development of an incredible number of new technologies coming to the Web. Continued progress in many areas demonstrates the vitality of the W3C and the Web community, as the rest of the report illustrates. Future Web Standards W3C has a variety of mechanisms for listening to what the community thinks could become good future Web standards. These include discussions with the Membership, discussions with other standards bodies, the activities of thousands of participants in over 300 community groups, and W3C Workshops. There are lots of good ideas. The W3C strategy team has been identifying promising topics and invites public participation. Future, recent and under consideration Workshops include: Inclusive XR (5-6 November 2019, Seattle, WA, USA) to explore existing and future approaches on making Virtual and Augmented Reality experiences more inclusive, including to people with disabilities; W3C Workshop on Data Models for Transportation (12-13 September 2019, Palo Alto, CA, USA) W3C Workshop on Web Games (27-28 June 2019, Redmond, WA, USA), view report Second W3C Workshop on the Web of Things (3-5 June 2019, Munich, Germany) W3C Workshop on Web Standardization for Graph Data; Creating Bridges: RDF, Property Graph and SQL (4-6 March 2019, Berlin, Germany), view report Web & Machine Learning. The Strategy Funnel documents the staff's exploration of potential new work at various phases: Exploration and Investigation, Incubation and Evaluation, and eventually to the chartering of a new standards group. The Funnel view is a GitHub Project where new area are issues represented by “cards” which move through the columns, usually from left to right. Most cards start in Exploration and move towards Chartering, or move out of the funnel. Public input is welcome at any stage but particularly once Incubation has begun. This helps W3C identify work that is sufficiently incubated to warrant standardization, to review the ecosystem around the work and indicate interest in participating in its standardization, and then to draft a charter that reflects an appropriate scope. Ongoing feedback can speed up the overall standardization process. Since the previous highlights document, W3C has chartered a number of groups, and started discussion on many more: Newly Chartered or Rechartered Web Application Security WG (03-Apr) Web Payment Security IG (17-Apr) Patent and Standards IG (24-Apr) Web Applications WG (14-May) Web & Networks IG (16-May) Media WG (23-May) Media and Entertainment IG (06-Jun) HTML WG (06-Jun) Decentralized Identifier WG (05-Sep) Extended Privacy IG (PING) (30-Sep) Verifiable Claims WG (30-Sep) Service Workers WG (31-Dec) Dataset Exchange WG (31-Dec) Web of Things Working Group (31-Dec) Web Audio Working Group (31-Dec) Proposed charters / Advance Notice Accessibility Guidelines WG Privacy IG (PING) RDF Literal Direction WG Timed Text WG CSS WG Web Authentication WG Closed Internationalization Tag Set IG Meeting Industry Needs Web Payments All Web Payments specifications W3C's payments standards enable a streamlined checkout experience, enabling a consistent user experience across the Web with lower front end development costs for merchants. Users can store and reuse information and more quickly and accurately complete online transactions. The Web Payments Working Group has republished Payment Request API as a Candidate Recommendation, aiming to publish a Proposed Recommendation in the Fall 2019, and is discussing use cases and features for Payment Request after publication of the 1.0 Recommendation. Browser vendors have been finalizing implementation of features added in the past year (view the implementation report). As work continues on the Payment Handler API and its implementation (currently in Chrome and Edge Canary), one focus in 2019 is to increase adoption in other browsers. Recently, Mastercard demonstrated the use of Payment Request API to carry out EMVCo's Secure Remote Commerce (SRC) protocol whose payment method definition is being developed with active participation by Visa, Mastercard, American Express, and Discover. Payment method availability is a key factor in merchant considerations about adopting Payment Request API. The ability to get uniform adoption of a new payment method such as Secure Remote Commerce (SRC) also depends on the availability of the Payment Handler API in browsers, or of proprietary alternatives. Web Monetization, which the Web Payments Working Group will discuss again at its face-to-face meeting in September, can be used to enable micropayments as an alternative revenue stream to advertising. Since the beginning of 2019, Amazon, Brave Software, JCB, Certus Cybersecurity Solutions and Netflix have joined the Web Payments Working Group. In April, W3C launched the Web Payment Security Group to enable W3C, EMVCo, and the FIDO Alliance to collaborate on a vision for Web payment security and interoperability. Participants will define areas of collaboration and identify gaps between existing technical specifications in order to increase compatibility among different technologies, such as: How do SRC, FIDO, and Payment Request relate? The Payment Services Directive 2 (PSD2) regulations in Europe are scheduled to take effect in September 2019. What is the role of EMVCo, W3C, and FIDO technologies, and what is the current state of readiness for the deadline? How can we improve privacy on the Web at the same time as we meet industry requirements regarding user identity? Digital Publishing All Digital Publishing specifications, Publication milestones The Web is the universal publishing platform. Publishing is increasingly impacted by the Web, and the Web increasingly impacts Publishing. Topic of particular interest to Publishing@W3C include typography and layout, accessibility, usability, portability, distribution, archiving, offline access, print on demand, and reliable cross referencing. And the diverse publishing community represented in the groups consist of the traditional "trade" publishers, ebook reading system manufacturers, but also publishers of audio book, scholarly journals or educational materials, library scientists or browser developers. The Publishing Working Group currently concentrates on Audiobooks which lack a comprehensive standard, thus incurring extra costs and time to publish in this booming market. Active development is ongoing on the future standard: Publication Manifest Audiobook profile for Web Publications Lightweight Packaging Format The BD Comics Manga Community Group, the Synchronized Multimedia for Publications Community Group, the Publishing Community Group and a future group on archival, are companions to the working group where specific work is developed and incubated. The Publishing Community Group is a recently launched incubation channel for Publishing@W3C. The goal of the group is to propose, document, and prototype features broadly related to: publications on the Web reading modes and systems and the user experience of publications The EPUB 3 Community Group has successfully completed the revision of EPUB 3.2. The Publishing Business Group fosters ongoing participation by members of the publishing industry and the overall ecosystem in the development of Web infrastructure to better support the needs of the industry. The Business Group serves as an additional conduit to the Publishing Working Group and several Community Groups for feedback between the publishing ecosystem and W3C. The Publishing BG has played a vital role in fostering and advancing the adoption and continued development of EPUB 3. In particular the BG provided critical support to the update of EPUBCheck to validate EPUB content to the new EPUB 3.2 specification. This resulted in the development, in conjunction with the EPUB3 Community Group, of a new generation of EPUBCheck, i.e., EPUBCheck 4.2 production-ready release. Media and Entertainment All Media specifications The Media and Entertainment vertical tracks media-related topics and features that create immersive experiences for end users. HTML5 brought standard audio and video elements to the Web. Standardization activities since then have aimed at turning the Web into a professional platform fully suitable for the delivery of media content and associated materials, enabling missing features to stream video content on the Web such as adaptive streaming and content protection. Together with Microsoft, Comcast, Netflix and Google, W3C received an Technology & Engineering Emmy Award in April 2019 for standardization of a full TV experience on the Web. Current goals are to: Reinforce core media technologies: Creation of the Media Working Group, to develop media-related specifications incubated in the WICG (e.g. Media Capabilities, Picture-in-picture, Media Session) and maintain maintain/evolve Media Source Extensions (MSE) and Encrypted Media Extensions (EME). Improve support for Media Timed Events: data cues incubation. Enhance color support (HDR, wide gamut), in scope of the CSS WG and in the Color on the Web CG. Reduce fragmentation: Continue annual releases of a common and testable baseline media devices, in scope of the Web Media APIs CG and in collaboration with the CTA WAVE Project. Maintain the Road-map of Media Technologies for the Web which highlights Web technologies that can be used to build media applications and services, as well as known gaps to enable additional use cases. Create the future: Discuss perspectives for Media and Entertainment for the Web. Bring the power of GPUs to the Web (graphics, machine learning, heavy processing), under incubation in the GPU for the Web CG. Transition to a Working Group is under discussion. Determine next steps after the successful W3C Workshop on Web Games of June 2019. View the report. Timed Text The Timed Text Working Group develops and maintains formats used for the representation of text synchronized with other timed media, like audio and video, and notably works on TTML, profiles of TTML, and WebVTT. Recent progress includes: A robust WebVTT implementation report poises the specification for publication as a proposed recommendation. Discussions around re-chartering, notably to add a TTML Profile for Audio Description deliverable to the scope of the group, and clarify that rendering of captions within XR content is also in scope. Immersive Web Hardware that enables Virtual Reality (VR) and Augmented Reality (AR) applications are now broadly available to consumers, offering an immersive computing platform with both new opportunities and challenges. The ability to interact directly with immersive hardware is critical to ensuring that the web is well equipped to operate as a first-class citizen in this environment. The Immersive Web Working Group has been stabilizing the WebXR Device API while the companion Immersive Web Community Group incubates the next series of features identified as key for the future of the Immersive Web. W3C plans a workshop focused on the needs and benefits at the intersection of VR & Accessibility (Inclusive XR), on 5-6 November 2019 in Seattle, WA, USA, to explore existing and future approaches on making Virtual and Augmented Reality experiences more inclusive. Web & Telecommunications The Web is the Open Platform for Mobile. Telecommunication service providers and network equipment providers have long been critical actors in the deployment of Web technologies. As the Web platform matures, it brings richer and richer capabilities to extend existing services to new users and devices, and propose new and innovative services. Real-Time Communications (WebRTC) All Real-Time Communications specifications WebRTC has reshaped the whole communication landscape by making any connected device a potential communication end-point, bringing audio and video communications anywhere, on any network, vastly expanding the ability of operators to reach their customers. WebRTC serves as the corner-stone of many online communication and collaboration services. The WebRTC Working Group aims to bringing WebRTC 1.0 (and companion specification Media Capture and Streams) to Recommendation by the end of 2019. Intense efforts are focused on testing (supported by a dedicated hackathon at IETF 104) and interoperability. The group is considering pushing features that have not gotten enough traction to separate modules or to a later minor revision of the spec. Beyond WebRTC 1.0, the WebRTC Working Group will focus its efforts on WebRTC NV which the group has started documenting by identifying use cases. Web & Networks Recently launched, in the wake of the May 2018 Web5G workshop, the Web & Networks Interest Group is chaired by representatives from AT&T, China Mobile and Intel, with a goal to explore solutions for web applications to achieve better performance and resource allocation, both on the device and network. The group's first efforts are around use cases, privacy & security requirements and liaisons. Automotive All Automotive specifications To create a rich application ecosystem for vehicles and other devices allowed to connect to the vehicle, the W3C Automotive Working Group is delivering a service specification to expose all common vehicle signals (engine temperature, fuel/charge level, range, tire pressure, speed, etc.) The Vehicle Information Service Specification (VISS), which is a Candidate Recommendation, is seeing more implementations across the industry. It provides the access method to a common data model for all the vehicle signals –presently encapsulating a thousand or so different data elements– and will be growing to accommodate the advances in automotive such as autonomous and driver assist technologies and electrification. The group is already working on a successor to VISS, leveraging the underlying data model and the VIWI submission from Volkswagen, for a more robust means of accessing vehicle signals information and the same paradigm for other automotive needs including location-based services, media, notifications and caching content. The Automotive and Web Platform Business Group acts as an incubator for prospective standards work. One of its task forces is using W3C VISS in performing data sampling and off-boarding the information to the cloud. Access to the wealth of information that W3C's auto signals standard exposes is of interest to regulators, urban planners, insurance companies, auto manufacturers, fleet managers and owners, service providers and others. In addition to components needed for data sampling and edge computing, capturing user and owner consent, information collection methods and handling of data are in scope. The upcoming W3C Workshop on Data Models for Transportation (September 2019) is expected to focus on the need of additional ontologies around transportation space. Web of Things All Web of Things specifications W3C's Web of Things work is designed to bridge disparate technology stacks to allow devices to work together and achieve scale, thus enabling the potential of the Internet of Things by eliminating fragmentation and fostering interoperability. Thing descriptions expressed in JSON-LD cover the behavior, interaction affordances, data schema, security configuration, and protocol bindings. The Web of Things complements existing IoT ecosystems to reduce the cost and risk for suppliers and consumers of applications that create value by combining multiple devices and information services. There are many sectors that will benefit, e.g. smart homes, smart cities, smart industry, smart agriculture, smart healthcare and many more. The Web of Things Working Group is finishing the initial Web of Things standards, with support from the Web of Things Interest Group: Web of Things Architecture Thing Descriptions Strengthening the Core of the Web HTML The HTML Working Group was chartered early June to assist the W3C community in raising issues and proposing solutions for the HTML and DOM specifications, and to produce W3C Recommendations from WHATWG Review Drafts. A few days before, W3C and the WHATWG signed a Memorandum of Understanding outlining the agreement to collaborate on the development of a single version of the HTML and DOM specifications. Issues and proposed solutions for HTML and DOM done via the newly rechartered HTML Working Group in the WHATWG repositories The HTML Working Group is targetting November 2019 to bring HTML and DOM to Candidate Recommendations. CSS All CSS specifications CSS is a critical part of the Open Web Platform. The CSS Working Group gathers requirements from two large groups of CSS users: the publishing industry and application developers. Within W3C, those groups are exemplified by the Publishing groups and the Web Platform Working Group. The former requires things like better pagination support and advanced font handling, the latter needs intelligent (and fast!) scrolling and animations. What we know as CSS is actually a collection of almost a hundred specifications, referred to as ‘modules’. The current state of CSS is defined by a snapshot, updated once a year. The group also publishes an index defining every term defined by CSS specifications. Fonts All Fonts specifications The Web Fonts Working Group develops specifications that allow the interoperable deployment of downloadable fonts on the Web, with a focus on Progressive Font Enrichment as well as maintenance of WOFF Recommendations. Recent and ongoing work includes: Early API experiments by Adobe and Monotype have demonstrated the feasibility of a font enrichment API, where a server delivers a font with minimal glyph repertoire and the client can query the full repertoire and request additional subsets on-the-fly. In other experiments, the Brotli compression used in WOFF 2 was extended to support shared dictionaries and patch update. Metrics to quantify improvement are a current hot discussion topic. The group will meet at ATypi 2019 in Japan, to gather requirements from the international typography community. The group will first produce a report summarizing the strengths and weaknesses of each prototype solution by Q2 2020. SVG All SVG specifications SVG is an important and widely-used part of the Open Web Platform. The SVG Working Group focuses on aligning the SVG 2.0 specification with browser implementations, having split the specification into a currently-implemented 2.0 and a forward-looking 2.1. Current activity is on stabilization, increased integration with the Open Web Platform, and test coverage analysis. The Working Group was rechartered in March 2019. A new work item concerns native (non-Web-browser) uses of SVG as a non-interactive, vector graphics format. Audio The Web Audio Working Group was extended to finish its work on the Web Audio API, expecting to publish it as a Recommendation by year end. The specification enables synthesizing audio in the browser. Audio operations are performed with audio nodes, which are linked together to form a modular audio routing graph. Multiple sources — with different types of channel layout — are supported. This modular design provides the flexibility to create complex audio functions with dynamic effects. The first version of Web Audio API is now feature complete and is implemented in all modern browsers. Work has started on the next version, and new features are being incubated in the Audio Community Group. Performance Web Performance All Web Performance specifications There are currently 18 specifications in development in the Web Performance Working Group aiming to provide methods to observe and improve aspects of application performance of user agent features and APIs. The W3C team is looking at related work incubated in the W3C GPU for the Web (WebGPU) Community Group which is poised to transition to a W3C Working Group. A preliminary draft charter is available. WebAssembly All WebAssembly specifications WebAssembly improves Web performance and power by being a virtual machine and execution environment enabling loaded pages to run native (compiled) code. It is deployed in Firefox, Edge, Safari and Chrome. The specification will soon reach Candidate Recommendation. WebAssembly enables near-native performance, optimized load time, and perhaps most importantly, a compilation target for existing code bases. While it has a small number of native types, much of the performance increase relative to Javascript derives from its use of consistent typing. WebAssembly leverages decades of optimization for compiled languages and the byte code is optimized for compactness and streaming (the web page starts executing while the rest of the code downloads). Network and API access all occurs through accompanying Javascript libraries -- the security model is identical to that of Javascript. Requirements gathering and language development occur in the Community Group while the Working Group manages test development, community review and progression of specifications on the Recommendation Track. Testing Browser testing plays a critical role in the growth of the Web by: Improving the reliability of Web technology definitions; Improving the quality of implementations of these technologies by helping vendors to detect bugs in their products; Improving the data available to Web developers on known bugs and deficiencies of Web technologies by publishing results of these tests. Browser Testing and Tools The Browser Testing and Tools Working Group is developing WebDriver version 2, having published last year the W3C Recommendation of WebDriver. WebDriver acts as a remote control interface that enables introspection and control of user agents, provides a platform- and language-neutral wire protocol as a way for out-of-process programs to remotely instruct the behavior of Web, and emulates the actions of a real person using the browser. WebPlatform Tests The WebPlatform Tests project now provides a mechanism which allows to fully automate tests that previously needed to be run manually: TestDriver. TestDriver enables sending trusted key and mouse events, sending complex series of trusted pointer and key interactions for things like in-content drag-and-drop or pinch zoom, and even file upload. Since 2014 W3C began work on this coordinated open-source effort to build a cross-browser test suite for the Web Platform, which WHATWG, and all major browsers adopted. Web of Data All Data specifications There have been several great success stories around the standardization of data on the web over the past year. Verifiable Claims seems to have significant uptake. It is also significant that the Distributed Identifier WG charter has received numerous favorable reviews, and was just recently launched. JSON-LD has been a major success with the large deployment on Web sites via schema.org. JSON-LD 1.1 completed technical work, about to transition to CR More than 25% of websites today include schema.org data in JSON-LD The Web of Things description is in CR since May, making use of JSON-LD Verifiable Credentials data model is in CR since July, also making use of JSON-LD Continued strong interest in decentralized identifiers Engagement from the TAG with reframing core documents, such as Ethical Web Principles, to include data on the web within their scope Data is increasingly important for all organizations, especially with the rise of IoT and Big Data. W3C has a mature and extensive suite of standards relating to data that were developed over two decades of experience, with plans for further work on making it easier for developers to work with graph data and knowledge graphs. Linked Data is about the use of URIs as names for things, the ability to dereference these URIs to get further information and to include links to other data. There are ever-increasing sources of open Linked Data on the Web, as well as data services that are restricted to the suppliers and consumers of those services. The digital transformation of industry is seeking to exploit advanced digital technologies. This will facilitate businesses to integrate horizontally along the supply and value chains, and vertically from the factory floor to the office floor. W3C is seeking to make it easier to support enterprise-wide data management and governance, reflecting the strategic importance of data to modern businesses. Traditional approaches to data have focused on tabular databases (SQL/RDBMS), Comma Separated Value (CSV) files, and data embedded in PDF documents and spreadsheets. We're now in midst of a major shift to graph data with nodes and labeled directed links between them. Graph data is: Faster than using SQL and associated JOIN operations More favorable to integrating data from heterogeneous sources Better suited to situations where the data model is evolving In the wake of the recent W3C Workshop on Graph Data we are in the process of launching a Graph Standardization Business Group to provide a business perspective with use cases and requirements, to coordinate technical standards work and liaisons with external organizations. Web for All Security, Privacy, Identity All Security specifications, all Privacy specifications Authentication on the Web As the WebAuthn Level 1 W3C Recommendation published last March is seeing wide implementation and adoption of strong cryptographic authentication, work is proceeding on Level 2. The open standard Web API gives native authentication technology built into native platforms, browsers, operating systems (including mobile) and hardware, offering protection against hacking, credential theft, phishing attacks, thus aiming to end the era of passwords as a security construct. You may read more in our March press release. Privacy An increasing number of W3C specifications are benefitting from Privacy and Security review; there are security and privacy aspects to every specification. Early review is essential. Working with the TAG, the Privacy Interest Group has updated the Self-Review Questionnaire: Security and Privacy. Other recent work of the group includes public blogging further to the exploration of anti-patterns in standards and permission prompts. Security The Web Application Security Working Group adopted Feature Policy, aiming to allow developers to selectively enable, disable, or modify the behavior of some of these browser features and APIs within their application; and Fetch Metadata, aiming to provide servers with enough information to make a priori decisions about whether or not to service a request based on the way it was made, and the context in which it will be used. The Web Payment Security Interest Group, launched last April, convenes members from W3C, EMVCo, and the FIDO Alliance to discuss cooperative work to enhance the security and interoperability of Web payments (read more about payments). Internationalization (i18n) All Internationalization specifications, educational articles related to Internationalization, spec developers checklist Only a quarter or so current Web users use English online and that proportion will continue to decrease as the Web reaches more and more communities of limited English proficiency. If the Web is to live up to the "World Wide" portion of its name, and for the Web to truly work for stakeholders all around the world engaging with content in various languages, it must support the needs of worldwide users as they engage with content in the various languages. The growth of epublishing also brings requirements for new features and improved typography on the Web. It is important to ensure the needs of local communities are captured. The W3C Internationalization Initiative was set up to increase in-house resources dedicated to accelerating progress in making the World Wide Web "worldwide" by gathering user requirements, supporting developers, and education & outreach. For an overview of current projects see the i18n radar. W3C's Internationalization efforts progressed on a number of fronts recently: Requirements: New African and European language groups will work on the gap analysis, errata and layout requirements. Gap analysis: Japanese, Devanagari, Bengali, Tamil, Lao, Khmer, Javanese, and Ethiopic updated in the gap-analysis documents. Layout requirements document: notable progress tracked in the Southeast Asian Task Force while work continues on Chinese layout requirements. Developer support: Spec reviews: the i18n WG continues active review of specifications of the WHATWG and other W3C Working Groups. Short review checklist: easy way to begin a self-review to help spec developers understand what aspects of their spec are likely to need attention for internationalization, and points them to more detailed checklists for the relevant topics. It also helps those reviewing specs for i18n issues. Strings on the Web: Language and Direction Metadata lays out issues and discusses potential solutions for passing information about language and direction with strings in JSON or other data formats. The document was rewritten for clarity, and expanded. The group is collaborating with the JSON-LD and Web Publishing groups to develop a plan for updating RDF, JSON-LD and related specifications to handle metadata for base direction of text (bidi). User-friendly test format: a new format was developed for Internationalization Test Suite tests, which displays helpful information about how the test works. This particularly useful because those tests are pointed to by educational materials and gap-analysis documents. Web Platform Tests: a large number of tests in the i18n test suite have been ported to the WPT repository, including: css-counter-styles, css-ruby, css-syntax, css-test, css-text-decor, css-writing-modes, and css-pseudo. Education & outreach: (for all educational materials, see the HTML & CSS Authoring Techniques) Web Accessibility All Accessibility specifications, WAI resources The Web Accessibility Initiative supports W3C's Web for All mission. Recent achievements include: Education and training: Inaccessibility of CAPTCHA updated to bring our analysis and recommendations up to date with CAPTCHA practice today, concluding two years of extensive work and invaluable input from the public (read more on the W3C Blog Learn why your web content and applications should be accessible. The Education and Outreach Working Group has completed revision and updating of the Business Case for Digital Accessibility. Accessibility guidelines: The Accessibility Guidelines Working Group has continued to update WCAG Techniques and Understanding WCAG 2.1; and published a Candidate Recommendation of Accessibility Conformance Testing Rules Format 1.0 to improve inter-rater reliability when evaluating conformance of web content to WCAG An updated charter is being developed to host work on "Silver", the next generation accessibility guidelines (WCAG 2.2) There are accessibility aspects to most specifications. Check your work with the FAST checklist. Outreach to the world W3C Developer Relations To foster the excellent feedback loop between Web Standards development and Web developers, and to grow participation from that diverse community, recent W3C Developer Relations activities include: @w3cdevs tracks the enormous amount of work happening across W3C W3C Track during the Web Conference 2019 in San Francisco Tech videos: W3C published the 2019 Web Games Workshop videos The 16 September 2019 Developer Meetup in Fukuoka, Japan, is open to all and will combine a set of technical demos prepared by W3C groups, and a series of talks on a selected set of W3C technologies and projects W3C is involved with Mozilla, Google, Samsung, Microsoft and Bocoup in the organization of ViewSource 2019 in Amsterdam (read more on the W3C Blog) W3C Training In partnership with EdX, W3C's MOOC training program, W3Cx offers a complete "Front-End Web Developer" (FEWD) professional certificate program that consists of a suite of five courses on the foundational languages that power the Web: HTML5, CSS and JavaScript. We count nearly 900K students from all over the world. Translations Many Web users rely on translations of documents developed at W3C whose official language is English. W3C is extremely grateful to the continuous efforts of its community in ensuring our various deliverables in general, and in our specifications in particular, are made available in other languages, for free, ensuring their exposure to a much more diverse set of readers. Last Spring we developed a more robust system, a new listing of translations of W3C specifications and updated the instructions on how to contribute to our translation efforts. W3C Liaisons Liaisons and coordination with numerous organizations and Standards Development Organizations (SDOs) is crucial for W3C to: make sure standards are interoperable coordinate our respective agenda in Internet governance: W3C participates in ICANN, GIPO, IGF, the I* organizations (ICANN, IETF, ISOC, IAB). ensure at the government liaison level that our standards work is officially recognized when important to our membership so that products based on them (often done by our members) are part of procurement orders. W3C has ARO/PAS status with ISO. W3C participates in the EU MSP and Rolling Plan on Standardization ensure the global set of Web and Internet standards form a compatible stack of technologies, at the technical and policy level (patent regime, fragmentation, use in policy making) promote Standards adoption equally by the industry, the public sector, and the public at large Coralie Mercier, Editor, W3C Marketing & Communications $Id: Overview.html,v 1.60 2019/10/15 12:05:52 coralie Exp $ Copyright © 2019 W3C ® (MIT, ERCIM, Keio, Beihang) Usage policies apply.
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BabyJ723 / Blast ON# Awesome Keycloak [](https://github.com/sindresorhus/awesome) # [<img src="https://www.keycloak.org/resources/images/keycloak_logo_480x108.png">](https://github.com/thomasdarimont/awesome-keycloak) > Carefully curated list of awesome Keycloak resources. A curated list of resources for learning about the Open Source Identity and Access Management solution Keycloak. Contains books, websites, blog posts, links to github Repositories. # Contributing Contributions welcome. Add links through pull requests or create an issue to start a discussion. [Please refer to the contributing guide for details](CONTRIBUTING.md). # Contents * [General](#general) * [Documentation](#docs) * [Keycloak Website](http://www.keycloak.org) * [Current Documentation](http://www.keycloak.org/documentation.html) * [Archived Documentation](http://www.keycloak.org/documentation-archive.html) * [Mailing Lists](#mailing-lists) * [User Mailing List](#user-mailing-list) * [Developer Mailing List](#dev-mailing-list) * [Mailing List Search](#mailing-list-search) * [Books](#books) * [Articles](#articles) * [Talks](#talks) * [Presentations](#presentations) * [Video Playlists](#video-playlists) * [Community Extensions](#community-extensions) * [Integrations](#integrations) * [Themes](#themes) * [Docker](#docker) * [Deployment Examples](#deployment-examples) * [Example Projects](#example-projects) * [Benchmarks](#benchmarks) * [Help](#help) * [Commercial Offerings](#commercial-offerings) * [Miscellaneous](#miscellaneous) # General ## Documentation * [Keycloak Website](http://www.keycloak.org/) * [Current Documentation](http://www.keycloak.org/documentation.html) * [Archived Documentation](http://www.keycloak.org/documentation-archive.html) * [Product Documentation for Red Hat Single Sign-On](https://access.redhat.com/documentation/en/red-hat-single-sign-on/) ## Discussion Groups and Mailing Lists * [Keycloak Users Google Group](https://groups.google.com/forum/#!forum/keycloak-user) * [Keycloak Developers Google Group](https://groups.google.com/forum/#!forum/keycloak-dev) * [Keycloak Discourse Group](https://keycloak.discourse.group/) * [Keycloak Developer Chat](https://keycloak.zulipchat.com) * [Inactive - User Mailing List](https://lists.jboss.org/mailman/listinfo/keycloak-user) * [Inactive - Developer Mailing List](https://lists.jboss.org/mailman/listinfo/keycloak-dev) * [Mailing List Search](http://www.keycloak.org/search) * [Keycloak Subreddit](https://www.reddit.com/r/keycloak) ## Books * [Keycloak - Identity and Access Management for Modern Applications](https://www.packtpub.com/product/keycloak-identity-and-access-management-for-modern-applications/9781800562493) ## Articles * [How to get Keycloak working with Docker](https://www.ivonet.nl/2015/05/23/Keycloak-Docker/) * [Single-Sign-On for Microservices and/or Java EE applications with Keycloak SSO](http://www.n-k.de/2016/06/keycloak-sso-for-microservices.html) * [Keycloak Admin Client(s) - multiple ways to manage your SSO system](http://www.n-k.de/2016/08/keycloak-admin-client.html) * [How to get the AccessToken of Keycloak in Spring Boot and/or Java EE](http://www.n-k.de/2016/05/how-to-get-accesstoken-from-keycloak-springboot-javaee.html) * [JWT authentication with Vert.x, Keycloak and Angular 2](http://paulbakker.io/java/jwt-keycloak-angular2/) * [Authenticating via Kerberos with Keycloak and Windows 2008 Active Directory](http://matthewcasperson.blogspot.de/2015/07/authenticating-via-kerberos-with.html) * [Deploying Keycloak with Ansible](https://adam.younglogic.com/2016/01/deploying-keycloak-via-ansible/) * [Easily secure your Spring Boot applications with Keycloak](https://developers.redhat.com/blog/2017/05/25/easily-secure-your-spring-boot-applications-with-keycloak/) * [How Red Hat re-designed its Single Sign On (SSO) architecture, and why](https://developers.redhat.com/blog/2016/10/04/how-red-hat-re-designed-its-single-sign-on-sso-architecture-and-why/) * [OAuth2, JWT, Open-ID Connect and other confusing things](http://giallone.blogspot.de/2017/06/oath2.html) * [X509 Authentication with Keycloak and JBoss Fuse](https://sjhiggs.github.io/fuse/sso/x509/smartcard/2017/03/29/fuse-hawtio-keycloak.html) * [Running Keycloak on OpenShift 3](https://medium.com/@sbose78/running-keycloak-on-openshift-3-8d195c0daaf6) * [Introducing Keycloak for Identity and Access Management](https://www.thomasvitale.com/introducing-keycloak-identity-access-management/) * [Keycloak Basic Configuration for Authentication and Authorisation](https://www.thomasvitale.com/keycloak-configuration-authentication-authorisation/) * [Keycloak on OpenShift Origin](https://medium.com/@james_devcomb/keycloak-on-openshift-origin-ee81d01dac97) * [Identity Management, One-Time-Passwords and Two-Factor-Auth with Spring Boot and Keycloak](http://www.hascode.com/2017/11/identity-management-one-time-passwords-and-two-factor-auth-with-spring-boot-and-keycloak/) * [Keycloak Identity Brokering with Openshift](https://developers.redhat.com/blog/2017/12/06/keycloak-identity-brokering-openshift/) * [OpenID Connect Identity Brokering with Red Hat Single Sign-On](https://developers.redhat.com/blog/2017/10/18/openid-connect-identity-brokering-red-hat-single-sign/) * [Authentication & user management is hard](https://eclipsesource.com/blogs/2018/01/11/authenticating-reverse-proxy-with-keycloak/) * [Securing Nginx with Keycloak](https://edhull.co.uk/blog/2018-06-06/keycloak-nginx) * [Secure kibana dashboards using keycloak](https://aboullaite.me/secure-kibana-keycloak/) * [Configuring NGINX for OAuth/OpenID Connect SSO with Keycloak/Red Hat SSO](https://developers.redhat.com/blog/2018/10/08/configuring-nginx-keycloak-oauth-oidc/) * [Keycloak Clustering Setup and Configuration Examples](https://github.com/fit2anything/keycloak-cluster-setup-and-configuration) * [MicroProfile JWT with Keycloak](https://kodnito.com/posts/microprofile-jwt-with-keycloak/) * [Keycloak Essentials](https://medium.com/keycloak/keycloak-essentials-86254b2f1872) * [SSO-session failover with Keycloak and AWS S3](https://medium.com/@georgijsr/sso-session-failover-with-keycloak-and-aws-s3-e0b1db985e12) * [KTOR and Keycloak: authentication with OpenId](https://medium.com/slickteam/ktor-and-keycloak-authentication-with-openid-ecd415d7a62e) * [Keycloak: Core concepts of open source identity and access management](https://developers.redhat.com/blog/2019/12/11/keycloak-core-concepts-of-open-source-identity-and-access-management) * [Who am I? Keycloak Impersonation API](https://blog.softwaremill.com/who-am-i-keycloak-impersonation-api-bfe7acaf051a) * [Setup Keycloak Server on Ubuntu 18.04](https://medium.com/@hasnat.saeed/setup-keycloak-server-on-ubuntu-18-04-ed8c7c79a2d9) * [Getting started with Keycloak](https://robferguson.org/blog/2019/12/24/getting-started-with-keycloak/) * [Angular, OpenID Connect and Keycloak](https://robferguson.org/blog/2019/12/29/angular-openid-connect-keycloak/) * [Angular, OAuth 2.0 Scopes and Keycloak](https://robferguson.org/blog/2019/12/31/angular-oauth2-keycloak/) * [Keycloak, Flowable and OpenLDAP](https://robferguson.org/blog/2020/01/03/keycloak-flowable-and-openldap/) * [How to exchange token from an external provider to a keycloak token](https://www.mathieupassenaud.fr/token-exchange-keycloak/) * [Building an Event Listener SPI (Plugin) for Keycloak](https://dev.to/adwaitthattey/building-an-event-listener-spi-plugin-for-keycloak-2044) * [Keycloak user migration – connect your legacy authentication system to Keycloak](https://codesoapbox.dev/keycloak-user-migration/) * [Keycloak Authentication and Authorization in GraphQL](https://medium.com/@darahayes/keycloak-authentication-and-authorization-in-graphql-ad0a1685f7da) * [Kong / Konga / Keycloak: securing API through OIDC](https://github.com/d4rkstar/kong-konga-keycloak) * [KeyCloak: Custom Login theme](https://codehumsafar.wordpress.com/2018/09/11/keycloak-custom-login-theme/) * [Keycloak: Use background color instead of background image in Custom Login theme](https://codehumsafar.wordpress.com/2018/09/21/keycloak-use-background-color-instead-of-background-image-in-custom-login-theme/) * [How to turn off the Keycloak theme cache](https://keycloakthemes.com/blog/how-to-turn-off-the-keycloak-theme-cache) * [How to add a custom field to the Keycloak registration page](https://keycloakthemes.com/blog/how-to-add-custom-field-keycloak-registration-page) * [How to setup Sign in with Google using Keycloak](https://keycloakthemes.com/blog/how-to-setup-sign-in-with-google-using-keycloak) * [How to sign in users on Keycloak using Github](https://keycloakthemes.com/blog/how-to-sign-in-users-on-keycloak-using-github) * [Extending Keycloak SSO Capabilities with IBM Security Verify](https://community.ibm.com/community/user/security/blogs/jason-choi1/2020/06/10/extending-keycloak-sso-capabilities-with-ibm-secur) * [AWS SAML based User Federation using Keycloak](https://medium.com/@karanbir.tech/aws-connect-saml-based-identity-provider-using-keycloak-9b3e6d0111e6) * [AWS user account OpenID federation using Keycloak](https://medium.com/@karanbir.tech/aws-account-openid-federation-using-keycloak-40d22b952a43) * [How to Run Keycloak in HA on Kubernetes](https://blog.sighup.io/keycloak-ha-on-kubernetes/) * [How to create a Keycloak authenticator as a microservice?](https://medium.com/application-security/how-to-create-a-keycloak-authenticator-as-a-microservice-ad332e287b58) * [keycloak.ch | Installing & Running Keycloak](https://keycloak.ch/keycloak-tutorials/tutorial-1-installing-and-running-keycloak/) * [keycloak.ch | Configuring Token Exchange using the CLI](https://keycloak.ch/keycloak-tutorials/tutorial-token-exchange/) * [keycloak.ch | Configuring WebAuthn](https://keycloak.ch/keycloak-tutorials/tutorial-webauthn/) * [keycloak.ch | Configuring a SwissID integration](https://keycloak.ch/keycloak-tutorials/tutorial-swissid/) * [Getting Started with Service Accounts in Keycloak](https://medium.com/@mihirrajdixit/getting-started-with-service-accounts-in-keycloak-c8f6798a0675) * [Building cloud native apps: Identity and Access Management](https://dev.to/lukaszbudnik/building-cloud-native-apps-identity-and-access-management-1e5m) * [X.509 user certificate authentication with Red Hat’s single sign-on technology](https://developers.redhat.com/blog/2021/02/19/x-509-user-certificate-authentication-with-red-hats-single-sign-on-technology) * [Grafana OAuth with Keycloak and how to validate a JWT token](https://janikvonrotz.ch/2020/08/27/grafana-oauth-with-keycloak-and-how-to-validate-a-jwt-token/) * [How to setup a Keycloak server with external MySQL database on AWS ECS Fargate in clustered mode](https://jbjerksetmyr.medium.com/how-to-setup-a-keycloak-server-with-external-mysql-database-on-aws-ecs-fargate-in-clustered-mode-9775d01cd317) * [Extending Keycloak: adding API key authentication](http://www.zakariaamine.com/2019-06-14/extending-keycloak) * [Extending Keycloak: using a custom email sender](http://www.zakariaamine.com/2019-07-14/extending-keycloak2) * [Integrating Keycloak and OPA with Confluent](https://goraft.tech/2021/03/17/integrating-keycloak-and-opa-with-confluent.html) * [UMA 2.0 : User Managed Access - how to use it with bash](https://blog.please-open.it/uma/) ## Talks * [JDD2015 - Keycloak Open Source Identity and Access Management Solution](https://www.youtube.com/watch?v=TuEkj25lbd0) * [2015 Using Tomcat and Keycloak in an iFrame](https://www.youtube.com/watch?v=nF_lw7uIxao) * [2016 You've Got Microservices Now Secure Them](https://www.youtube.com/watch?v=SfVhqf-rMQY) * [2016 Keycloak: Open Source Single Sign On - Sebastian Rose - AOE conf (german)](https://www.youtube.com/watch?v=wbKw0Bwyne4) * [2016 Sécuriser ses applications back et front facilement avec Keycloak (french)](https://www.youtube.com/watch?v=bVidgluUcg0) * [2016 Keycloak and Red Hat Mobile Application Platform](https://www.youtube.com/watch?v=4NBgiHM5aOA) * [2016 Easily secure your Front and back applications with KeyCloak](https://www.youtube.com/watch?v=RGp4HUKikts) * [2017 Easily secure your Spring Boot applications with Keycloak - Part 1](https://developers.redhat.com/video/youtube/vpgRTPFDHAw/) * [2017 Easily secure your Spring Boot applications with Keycloak - Part 2](https://developers.redhat.com/video/youtube/O5ePCWON08Y/) * [2018 How to secure your Spring Apps with Keycloak by Thomas Darimont @ Spring I/O 2018](https://www.youtube.com/watch?v=haHFoeWUj0w) * [2018 DevNation Live | A Deep Dive into Keycloak](https://www.youtube.com/watch?v=ZxpY_zZ52kU) * [2018 IDM Europe: WSO2 Identity Server vs. Keycloak (Dmitry Kann)](https://www.youtube.com/watch?v=hnjBiGsEDoU) * [2018 JPrime|Building an effective identity and access management architecture with Keycloak (Sebastien Blanc)](https://www.youtube.com/watch?v=bMqcGkCvUVQ) * [2018 WJAX| Sichere Spring-Anwendungen mit Keycloak](https://www.youtube.com/watch?v=6Z490EMcafs) * [2019 Spring I/O | Secure your Spring Apps with Keycloak](https://www.youtube.com/watch?v=KrOd5wIkqls) * [2019 DevoxxFR | Maitriser sa gestion de l'identité avec Keycloak (L. Benoit, T. Recloux, S. Blanc)](https://www.youtube.com/watch?v=0cziL__0-K8) * [2019 DevConf | Fine - Grained Authorization with Keycloak SSO (Marek Posolda)](https://www.youtube.com/watch?v=yosg4St0iUw) * [2019 VoxxedDays Minsk | Bilding an effective identity and access management architecture with Keycloak (Sebastien Blanc)](https://www.youtube.com/watch?v=RupQWmYhrLA) * [2019 Single-Sign-On Authentifizierung mit dem Keycloak Identity Provider | jambit CoffeeTalk](https://www.youtube.com/watch?v=dnY6ORaFNY8) * [2020 Keycloak Team | Keycloak Pitch](https://www.youtube.com/watch?v=GZTN_VXjoQw) * [2020 Keycloak Team | Keycloak Overview](https://www.youtube.com/watch?v=duawSV69LDI) * [2020 Please-open.it : oauth2 dans le monde des ops (french)](https://www.youtube.com/watch?v=S-9X50QajmY) ## Presentations * [Keycloak 101](https://stevenolen.github.io/kc101-talk/#1) ## Video Playlists * [Keycloak Identity and Access Management by Łukasz Budnik](https://www.youtube.com/playlist?list=PLPZal7ksxNs0mgScrJxrggEayV-TPZ9sA) * [Keycloak by Niko Köbler](https://www.youtube.com/playlist?list=PLNn3plN7ZiaowUvKzKiJjYfWpp86u98iY) * [Keycloak Playlist by hexaDefence](https://youtu.be/35bflT_zxXA) * [Keycloak Tutorial Series by CodeLens](https://www.youtube.com/watch?v=Lr9WeIMtFow&list=PLeGNmkzI56BTjRxNGxUhh4k30FD_gy0pC) ## Clients * [Official Keycloak Node.js Admin Client](https://github.com/keycloak/keycloak-admin-client/) ("Extremely Experimental") * [Keycloak Node.js TypeScript Admin Client by Canner](https://github.com/Canner/keycloak-admin/) * [Keycloak Go Client by Cloudtrust](https://github.com/cloudtrust/keycloak-client) * [Keycloak Nest.js Admin Client by Relevant Fruit](https://github.com/relevantfruit/nestjs-keycloak-admin) ## Community Extensions * [Keycloak Extensions List](https://www.keycloak.org/extensions.html) * [Keycloak Benchmark Project](https://github.com/keycloak/keycloak-benchmark) * [Keycloak: Link IdP Login with User Provider](https://github.com/ohioit/keycloak-link-idp-with-user) * [Client Owner Manager: Control who can edit a client](https://github.com/cyclone-project/cyclone-client-registration) * [Keyloak Proxy written in Go](https://github.com/gambol99/keycloak-proxy) * [Script based ProtocolMapper extension for SAML](https://github.com/cloudtrust/keycloak-client-mappers) * [Realm export REST resource by Cloudtrust](https://github.com/cloudtrust/keycloak-export) * [Keycloak JDBC Ping Setup by moremagic](https://github.com/moremagic/keycloak-jdbc-ping) * [SMS 2 Factor Authentication for Keycloak via AWS SNS](https://github.com/nickpack/keycloak-sms-authenticator-sns) * [SMS 2 Factor Authentiation for Keycloak via SMS by Alliander](https://github.com/Alliander/keycloak-sms-authenticator) * [Identity Provider for vk.com](https://github.com/mrk08/keycloak-vk) * [CAS Protocol Support](https://github.com/Doccrazy/keycloak-protocol-cas) * [WS-FED Support](https://github.com/cloudtrust/keycloak-wsfed) * [Keycloak Discord Support](https://github.com/wadahiro/keycloak-discord) * [Keycloak Login with User Attribute](https://github.com/cnieg/keycloak-login-attribute) * [zonaut/keycloak-extensions](https://github.com/zonaut/keycloak-extensions) * [leroyguillaume/keycloak-bcrypt](https://github.com/leroyguillaume/keycloak-bcrypt) * [SPI Authenticator in Nodejs](https://www.npmjs.com/package/keycloak-rest-authenticator) * [Have I Been Pwned? Keycloak Password Policy](https://github.com/alexashley/keycloak-password-policy-have-i-been-pwned) * [Keycloak Eventlistener for Google Cloud Pub Sub](https://github.com/acesso-io/keycloak-event-listener-gcpubsub) * [Enforcing Password policy based on attributes of User Groups](https://github.com/sayedcsekuet/keycloak-user-group-based-password-policy) * [Verify Email with Link or Code by hokumski](https://github.com/hokumski/keycloak-verifyemailwithcode) * [Role-based Docker registry authentication](https://github.com/lifs-tools/keycloak-docker-role-mapper) * [SCIM for keycloak](https://github.com/Captain-P-Goldfish/scim-for-keycloak) * [Keycloak Kafka Module](https://github.com/SnuK87/keycloak-kafka) ## Integrations * [Official Keycloak Node.js Connect Adapter](https://github.com/keycloak/keycloak-nodejs-connect) * [Keycloak support for Aurelia](https://github.com/waynepennington/aurelia-keycloak) * [Keycloak OAuth2 Auth for PHP](https://github.com/stevenmaguire/oauth2-keycloak) * [Jenkins Keycloak Authentication Plugin](https://github.com/jenkinsci/keycloak-plugin) * [Meteor Keycloak Accounts](https://github.com/mxab/meteor-keycloak) * [HapiJS Keycloak Auth](https://github.com/felixheck/hapi-auth-keycloak) * [zmartzone mod_auth_openidc for Apache 2.x](https://github.com/zmartzone/mod_auth_openidc) * [Duo Security MFA Authentication for Keycloak](https://github.com/mulesoft-labs/keycloak-duo-spi) * [Extension Keycloak facilitant l'utilisation de FranceConnect](https://github.com/InseeFr/Keycloak-FranceConnect) * [Ambassador Keycloak Support](https://www.getambassador.io/reference/idp-support/keycloak/) * [Keycloak Python Client](https://github.com/akhilputhiry/keycloak-client) * [Keycloak Terraform Provider](https://github.com/mrparkers/terraform-provider-keycloak) * [Keycloak ADFS OpenID Connect](https://www.michaelboeynaems.com/keycloak-ADFS-OIDC.html) * [React/NextJS Keycloak Bindings](https://github.com/panz3r/react-keycloak) * [Keycloak Open-Shift integration](https://github.com/keycloak/openshift-integration) * [Keycloak, Kong and Konga setup scripts (local development)](https://github.com/JaouherK/Kong-konga-Keycloak) * [SSO for Keycloak and Nextcloud with SAML](https://stackoverflow.com/questions/48400812/sso-with-saml-keycloak-and-nextcloud) * [Keycloak Connect GraphQL Adapter for Node.js](https://github.com/aerogear/keycloak-connect-graphql) * [python-keycloak](https://github.com/marcospereirampj/python-keycloak) * [Keycloak and PrivacyId3a docker-compose (local development)](https://github.com/JaouherK/keycloak-privacyIdea) * [Nerzal/gocloak Golang Keycloak API Package](https://github.com/Nerzal/gocloak) * [Apple Social Identity Provider for Keycloak](https://github.com/BenjaminFavre/keycloak-apple-social-identity-provider) ## Quick demo Videos * [Keycloak with istio envoy jwt-auth proxy](https://www.youtube.com/watch?v=wscX7JMfuBI) ## Themes * [Community Keycloak Ionic Theme](https://github.com/lfryc/keycloak-ionic-theme) * [A Keycloak theme based on the AdminLTE UI library](https://github.com/MAXIMUS-DeltaWare/adminlte-keycloak-theme) * [GOV.UK Theme](https://github.com/UKHomeOffice/keycloak-theme-govuk) * [Carbon Design](https://github.com/httpsOmkar/carbon-keycloak-theme) * [Modern](https://keycloakthemes.com/themes/modern) * [Adminlte](https://git.uptic.nl/uptic-public-projects/uptic-keyclock-theme-adminlte) * [keycloakify: Create Keycloak themes using React](https://github.com/InseeFrLab/keycloakify) ## Docker * [Official Keycloak Docker Images](https://github.com/jboss-dockerfiles/keycloak) * [Keycloak Examples as Docker Image](https://hub.docker.com/r/jboss/keycloak-examples) * [Keycloak Maven SDK for managing the entire lifecycle of your extensions with Docker](https://github.com/OpenPj/keycloak-docker-quickstart) ## Kubernetes * [Deprecated Keycloak Helm Chart](https://github.com/codecentric/helm-charts/tree/master/charts/keycloak) * [codecentric Keycloak Helm Chart](https://github.com/codecentric/helm-charts/tree/master/charts/keycloak) * [Import / Export Keycloak Config](https://gist.github.com/unguiculus/19618ef57b1863145262191944565c9d) * [keycloak-operator](https://github.com/keycloak/keycloak-operator) ## Tools * [keycloakmigration: Manage your Keycloak configuration with code](https://github.com/klg71/keycloakmigration) * [tool to autogenerate an OpenAPI Specification for Keycloak's Admin API](https://github.com/ccouzens/keycloak-openapi) * [oidc-bash-client](https://github.com/please-openit/oidc-bash-client) * [louketo-proxy (FKA Gatekeeper)](https://github.com/louketo/louketo-proxy) * [keycloak-config-cli: Configuration as Code for Keycloak](https://github.com/adorsys/keycloak-config-cli) * [Keycloak Pulumi](https://github.com/pulumi/pulumi-keycloak) * [Keycloak on AWS](https://github.com/aws-samples/keycloak-on-aws) * [aws-cdk construct library that allows you to create KeyCloak on AWS in TypeScript or Python](https://github.com/aws-samples/cdk-keycloak) * [keycloak-scanner Python CLI](https://github.com/NeuronAddict/keycloak-scanner) ## Deployment Examples * [Keycloak deployment with CDK on AWS with Fargate](https://github.com/aws-samples/cdk-keycloak) ## Example Projects * [Examples from Keycloak Book: Keycloak - Identity and Access Management for Modern Applications](https://github.com/PacktPublishing/Keycloak-Identity-and-Access-Management-for-Modern-Applications) * [Official Examples](https://github.com/keycloak/keycloak/tree/master/examples) * [Keycloak Quickstarts](https://github.com/keycloak/keycloak-quickstarts) * [Drupal 7.0 with Keycloak](https://gist.github.com/thomasdarimont/17fa146c4fb5440d7fc2ee6322ec392d) * [Securing Realm Resources With Custom Roles](https://github.com/dteleguin/custom-admin-roles) * [BeerCloak: a comprehensive KeyCloak extension example](https://github.com/dteleguin/beercloak) * [KeyCloak Extensions: Securing Realm Resources With Custom Roles](https://github.com/dteleguin/custom-admin-roles) * [Red Hat Single Sign-On Labs](https://github.com/RedHatWorkshops/red-hat-sso) * [Spring Boot Keycloak Tutorial](https://github.com/sebastienblanc/spring-boot-keycloak-tutorial) * [Custom Keycloak Docker Image of Computer Science House of RIT](https://github.com/ComputerScienceHouse/keycloak-docker) * [Example of custom password hash SPI for Keycloak](https://github.com/pavelbogomolenko/keycloak-custom-password-hash) * [Example for a custom http-client-provider with Proxy support](https://github.com/xiaoyvr/custom-http-client-provider) * [Monitor your keycloak with prometheus](https://github.com/larscheid-schmitzhermes/keycloak-monitoring-prometheus) * [Custom User Storage Provider .ear with jboss-cli setup](https://github.com/thomasdarimont/keycloak-user-storage-provider-demo) * [Keycloak - Experimental extensions by Stian Thorgersen/Keycloak](https://github.com/stianst/keycloak-experimental) * [Securing Spring Boot Admin & Actuator Endpoints with Keycloak](https://github.com/thomasdarimont/spring-boot-admin-keycloak-example) * [A Keycloak Mobile Implementation using Angular v4 and Ionic v3](https://github.com/tomjackman/keyonic-v2) * [Example for Securing Apps with Keycloak on Kubernetes](https://github.com/stianst/demo-kubernetes) * [Example for Securing AspDotNet Core Apps with Keycloak](https://github.com/thomasdarimont/kc-dnc-demo) * [Example for passing custom URL parameters to a Keycloak theme for dynamic branding](https://github.com/dteleguin/keycloak-dynamic-branding) * [Angular Webapp secured with Keycloak](https://github.com/CodepediaOrg/bookmarks.dev) * [Keycloak Theme Development Kit](https://github.com/anthonny/kit-keycloak-theme) * [Keycloak Clustering examples](https://github.com/ivangfr/keycloak-clustered) * [Keycloak Last Login Date Event Listener](https://github.com/ThoreKr/keycloak-last-login-event-listener) * [Keycloak Project Example (Customizations, Extensions, Configuration)](https://github.com/thomasdarimont/keycloak-project-example) * [Example of adding API Key authentication to Keycloak](https://github.com/zak905/keycloak-api-key-demo) ## Benchmarks * [Gatling based Benchmark by @rvansa](https://github.com/rvansa/keycloak-benchmark) ## Help * [Keycloak on Stackoverflow](https://stackoverflow.com/questions/tagged/keycloak) ## Commercial Offerings * [Red Hat Single Sign-On](https://access.redhat.com/products/red-hat-single-sign-on) * [INTEGSOFT UNIFIED USER CREDENTIALS WITH KEYCLOAK SSO](https://www.integsoft.cz/en/sso.html#what-is-sso) * [JIRA SSO Plugin by codecentric](https://marketplace.atlassian.com/plugins/de.codecentric.atlassian.oidc.jira-oidc-plugin/server/overview) * [Keycloak Competence Center by Inventage AG](https://keycloak.ch/) * [Keycloak as a Service](https://www.cloud-iam.com) ## Miscellaneous * [Find sites using Keycloak with google](https://www.google.de/search?q=inurl%3Aauth+inurl%3Arealms+inurl%3Aprotocol&oq=inurl%3A&client=ubuntu&sourceid=chrome&ie=UTF-8) * [Keycloak Dev Bookmarks](http://bookmarks.dev/search?q=keycloak) - Use the tag [keycloak](https://www.bookmarks.dev/tagged/keycloak) * [Use fail2ban to block brute-force attacks to keycloak server](https://gist.github.com/drmalex07/3eba8b98d0ac4a1e821e8e721b3e1816) * [Pentest-Report Keycloak 8.0 Audit & Pentest 11.2019 by Cure53](https://cure53.de/pentest-report_keycloak.pdf) * [Keycloak - CNCF Security SIG - Self Assesment](https://docs.google.com/document/d/14IIGliP3BWjdS-0wfOk3l_1AU8kyoSiLUzpPImsz4R0/edit#) # License [](https://creativecommons.org/publicdomain/zero/1.0/) To the extent possible under law, [Thomas Darimont](https://github.com/thomasdarimont) has waived all copyright and related or neighboring rights to this work.
cajuncoding / ApacheFOP.ServerlessA ready to use serverless implementation of Apache FOP via Azure Functions. This provides a micro-service for dynamically rendering quality PDF binary outputs from XSL-FO source using Apache FOP. When combined with the ease and simplicity of Azure Functions this project is a powerful, efficient, and scalable PDF Reporting Service that generates high quality, true paged media, reports for any environment and any client technology (.Net, NodeJS/JavaScript, Ruby, Mobile iOS/Android, Powershell, even Windows/Mac apps, etc.)!
rcesunil9 / WALLET CORPORATE SHIPPING AND RECEPTION SYSTEMThe system was developed with USSD or SMS technology to be used without limits on all modern or outdated mobile devices. The main objective is to reach the entire population by offering the most comfort possible without complications in technologies in terms of use and their monetary movements. More about this source text. The main operation is to buy your balance at any shipping point and use it at any time sending to anyone and keep your balance without moving so much. Because the thing goes like this: We have to have a main number that answers all the requests of the final client, consulting everything in a database and saving. The main task in the foreground is to get an automated server to receive messages from the subscribers to the system, their requests, and this server simultaneously processes the request for the message by responding to the requester, the requester at the same time confirms his transaction with a pin code According to the transaction, the commissions are charged in your wallet, in the same way there will be users as affiliates where they carry out their operations with their balances and the commissions are distributed between the same and the company according to the established percentage, this event must be registered in a database that will store the customer's information, then this, when made possible, must be a part of the Administration panel, to be able to see all the requests processed, the balances of the clients, their operations, a part to enable or create new clients and users by roles. A confirmation PIN must be sent from the end user, for security reasons, an encrypted PIN. Integrate payment gateway for international clients and they will use VISA to recharge their wallet. -> The user will use their VISA card to recharge their balance if it is what they have and we will have to use a gateway, NOW, nationwide, the use of cards is almost 0%, the second option for natives is: We have to add the option to create ticket and printed or small printed cards to scratch that will contain a code, for example: 1286565XXX, then once scratch and enter it, a balance is recharged, then they will have to be GENERATED with the same More about this source text. system, maintaining referential integrity and printing them. -> Okay, will you buy me scratch cards and give me cash? YES. -> Perfect, in some kiosks installed for example in the streets and commercial places. A well-organized project makes maintenance easy. Error correction. Remember business logic well. There must be a part to configure or parameterize the commissions according to the amounts to be sent. Each user must have their balance account and commissions account, these commissions must be withdrawn at any time and be transferred to their account of movements. If the user asks for a history of their transactions, it is sent to them at the same time as an Excel or PDF file. BUSINESS LOGIC: • Prices of cards to print: 10,000, 25,000, 60,000, 90,000, 125,000, 300,000. • Make the shipment the interest commission is 20% • Receive by saving in the wallet the commission is 20% interest, it is entered into your account • Receive by taking cash the commission of 20% is transferred to the effective payer. • Make payment of a bill for a service with your wallet the standard spending commission is 1,000 • Receive payment of an invoice for a paid service the standard expense commission is 1,000 • Make payment of an article or product the expense commission is 5%. • Receive payment for an item or product, the expense commission is 5%. • Buy GETESA or MUNI balance, the expense commission is 50XAF. CASES: CASE 0: REGISTER: TYPES OF USERS: SUPER_ADMIN, ADMIN, FRANCHISE_CLIETE, NORMAL_CLIENT • Send word: HELLO, respond with an image incorporated wallet + Template; CORPORATED WALLET Greetings. Your shipments, purchases earnings and wallet "You win and I win" Send: R -> Register S -> If you are already registered IF -> More information (Yes, it is the first time). FAMILY (if already registered) A. Reload. • Receive menu descriptions of services: A. Register, B. Send, C. Receive, D. Join to win, E. My balance, F. Extract, G. About us. More about CASES. • Register ok: Credit card code (mandatory), ^ Telephone number (obviously already obtained with the sms), Full name, City, PIN code, Recharge code • Verify account. CASE 1: PERFORM OPERATION: • Send word: FAMILY • Receive menu descriptions of services: AB. Recharge. B. Send, B1. Send payment for a service, C. Receive, C1. Receive service payment. D. Join to win, E. My balance, FA. Pay bills, FB. Pagar luz, F. Extract, G. About us. • Reload: Put scratch card code (purchased at any kiosk or agency) • Receive sms balance. • REFILL WITH VISA CARD: link from stripe or any payment website with OTP • Synchronize the balance of the currency or reloaded currency CASE 2: SEND: • Amount to send • Recipient phone • Balance ok? • Ask for confirmation PIN • Debit sender customer account: amount sent, amount on commission (percentage setting) • Distribute or distribute commissions: company percentage to company commissions account, sender percentage to commissions account. • Complete operation message: Sender, amount, commission, remaining balance, date CASE 3: RECEIVE: Code shipping • Sender • Amount • PIN confirmation • Operation message CASE 4: JOIN TO WIN • Send word: WIN • Request card or recharge code (credit account with higher balance) • Transform to account (FRANQUICIA_CLIETE) • Automatically establish commission percentage for sending or receiving. (SUPER ADMIN PANEL } • Ok: account info message. CASE 5: ACCOUNT INFORMATION • Send word: BALANCE or INFO • Info message: Name, balance, commissions CASE 6: WITHDRAWAL COMMISSIONS • Send keyword: DAME • Amount to withdraw • PIN confirmation • Debit commissions account • Top up main customer account. • Regularize account of commissions. • Status information. CASE 7: CHANGE PIN • Send PIN word • Change? • old PIN • New PIN • new PIN confirmation • PIN message changed successfully CASE 8 FB: PAY LIGHT • SEGESA phone • Counter code • Amount payable • PIN confirmation • Invoice in PDF • Successful payment • Debit 1000 • Automatic collection of the amount of 1000 SEGESA account • Income of the amount paid to the SEGESA account • Ge CASE 9 F: REQUEST EXTRACT • Write word: EX • Dates: Start date, End date, ALL • Excel file with transaction information. CASE 10 G: ABOUT US • Send word: CONTACT • Detailed information on the company's services and contacts. CASE 11: ADMINISTRATIVE PANEL • Statistics of operations and statuses of Chart.js accounts • Admin users • Manage clients • Receive • Send • Operations • Returns • Payments • Links • Accounts • Setting • Generate balances or scratch cards WALLET OPERATIONS. CASE 0-OB: RECEIVE PAYMENT OF A SERVICE. • Keyword: PS C1 • Ask to put amount • Ask to put a pay phone • Ask to put a description • Receive descriptive sms and send payment code automatically • Receive authorized payer code • Confirm transaction code • Apply expense commission CASE 1-OB: Make payment for a service • Receive payment code from provider • Keyword: B1 • Enter code • See payment info. • Q-> Confirm • PIN confirmation • Debit the payer account the amount • Debt account the payer commission expenses • Change transaction status. Beforehand in the future I want to consume a transaction by its code in another application and verify its effectiveness in the future with another application that I have in my fan of projects. It will be a big platform, MY VISION.
venkatvkpt / Mobile Store Billing SoftwareBilling Software for mobile store invoice pdf genrator By JavaFX GUI
kylemcdonald / Covid Mobility DataSimple script for digitizing the plots in .pdf files from Google's "Community Mobile Reports".
uditmahato / Mobile App For Maize Plant Disease DetectionA Flutter-based mobile application for Maize Plant Disease Detection using Convolutional Neural Networks (CNN). This app provides a comprehensive solution for identifying maize plant diseases, their symptoms, treatments, generating PDF reports, and enabling user feedback to administrators.
SyncfusionExamples / Create A Pdf Document In FlutterA quick-start example to help you add Syncfusion Flutter PDF library to a Flutter app. In this example, you will learn how to create a PDF document and add text, images, and tables to it. You will also learn how to save the file and download the document on a mobile and in the web.
venkatvkpt / Invoice PDF ITEXT Mobile Store Invoice PDF Generation using ITEXT
