548 skills found · Page 1 of 19
18601949127 / DiDiCallCar这是我自己做的一个类似滴滴打车的Android出行项目，主要针对滴滴等出行平台一直饱受质疑的“人车不符”问题，以及当前越发火热的或计划和出海战略，给出行项目增加了下面几个功能： 1. RFID识别验证功能：在司机证件或者车内识别硬件嵌入RFID识别芯片，乘客使用手机读取到芯片信息，并且通过网络发送到出行平台数据库进行验证（我用JNI加了一个C语言的MD5加密算法对识别到的信息进行了加密）。如果不是合规的“人”或“车”，则不能完成订单并向平台或监管单位汇报当前位置。（为了方便读者测试，可以使用手机读取任何一个加密或非加密RFID芯片，比如银行卡、公交卡等，我在代码中的验证前阶段把芯片信息都换成我自己的司机信息，确保读者测试时可以收到服务器的回复） 2. 海外版功能：点击切换当前语言。 3. 司机证件号码识别功能：读取司机证件上的证件号码，也可以用来与出行平台数据库的接单司机信息进行。I complete this whole project on my own . Including Android application programming，web server ( Apache + PHP + MySQL), and UI. 1．Map route planing。You can use mobile phone choose pick up & destination address，application provide address name hint and draw optimized route for user , then call car for you. 2．RFID authentication function：User can use application to scan driver license or other RFID hardware, then use NDK MD5 algorithm encrypt RFID number, and send it to Web Server Database, check with driver information and authenticate ID number , if ID number coherent with driver info , send back driver information to User and continue call car order . record user location and alert if ID not coherent. 3．Driver License Number Recognition : Application can recognize driver license digit number ,and also can send to web server for authentication & feed back result to user.
Erkaman / Regl CnnDigit recognition with Convolutional Neural Networks in WebGL
1nfinityLoop / Sudoku Solver AII made a real time Sudoku solver using the camera, it looks for the edges of the Sudoku in the frame, extracts it, solves it and overlays the solution on the puzzle itself. For the digit recognition, I used a CNN, trained using Keras with printed characters from the different ubuntu fonts. For the image processing part, I used OpenCV for the edge detection.
zishansami102 / CNN From ScratchA scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
anujdutt9 / Handwritten Digit Recognition Using Deep LearningHandwritten Digit Recognition using Machine Learning and Deep Learning
potterhsu / SVHNClassifierA TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
soloice / Chinese Character RecognitionThis project shows how to use CNN to perform Chinese character recognition, a much more complicated task compared to MNIST digit recognition.
potterhsu / SVHNClassifier PyTorchA PyTorch implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)
akshaybahadur21 / Digit RecognizerA Machine Learning classifier for recognizing the digits for humans 🎰
NeuralNine / Handwritten Digits RecognitionA script that trains a model to recognize handwritten digits using the MNIST data set. Then it loads external files and uses the neural network to predict what digits they are.
bikz05 / Digit RecognitionHandwritten Digit Recognition using OpenCV, sklearn and Python
zxzhijia / Brian2STDPMNISTBrian 2 version of Paper "Unsupervised Learning of digit recognition using STDP"
ayushoriginal / HandWritingRecognition CNNThis CNN-based model for recognition of hand written digits attains a validation accuracy of 99.2% after training for 12 epochs. Its trained on the MNIST dataset on Kaggle.
surya-veer / RealTime DigitRecognitionRealTime DigitRecognition using Convolutional Neural Network(CNN) with keras.
pavitrakumar78 / Python Custom Digit RecognitionUsing OpenCV in python to recognize digits in a scanned page of handwritten digits.
joeledenberg / DigitRecognitionDigit recognition with neural network
ypwhs / Wechat Digit Recognition微信公众号数字识别
cvdfoundation / MnistThe MNIST database of handwritten digits is one of the most popular image recognition datasets. It contains 60k examples for training and 10k examples for testing.
Curt-Park / Handwritten Digit RecognitionHandwritten digit recognition with MNIST & Keras
amitrajitbose / Handwritten Digit RecognitionHandwritten digit recognition using neural network trained on 60000 images from MNIST dataset
