104 skills found · Page 1 of 4
kmhmubin / Face Recognition Attendance SystemFace Detection | Recognition | Attendance
msindev / Driver Drowsiness DetectorDriver Drowsiness Detector detects if a driver or a person is drowsy or not, using their eye movements.
AdityaPai2398 / Vehicle And Pedestrian Detection Using Haar CascadesReal Time Detection and Classification of Vehicles and Pedestrians Using Haar Cascade Classifier
shreyapamecha / Speed Estimation Of Vehicles With Plate DetectionThe main objective of this project is to identify overspeed vehicles, using Deep Learning and Machine Learning Algorithms. After acquisition of series of images from the video, trucks are detected using Haar Cascade Classifier. The model for the classifier is trained using lots of positive and negative images to make an XML file. This is followed by tracking down the vehicles and estimating their speeds with the help of their respective locations, ppm (pixels per meter) and fps (frames per second). Now, the cropped images of the identified trucks are sent for License Plate detection. The CCA (Connected Component Analysis) assists in Number Plate detection and Characters Segmentation. The SVC model is trained using characters images (20X20) and to increase the accuracy, 4 cross fold validation (Machine Learning) is also done. This model aids in recognizing the segmented characters. After recognition, the calculated speed of the trucks is fed into an excel sheet along with their license plate numbers. These trucks are also assigned some IDs to generate a systematized database.
mesutpiskin / Opencv Object Detection:camera: Object detection with OpenCV on Java. DNN, HaarCascade, Template Matching, Color Detection etc.
stoic1979 / RobovisionAI and machine leaning-based computer vision for a robot
shumbul / Smart Attendance SystemSoftware Engineering course project, Smart Attendance System using Face Recognition and OpenCV
noahlevenson / WasmfaceViola-Jones face detection from scratch in WebAssembly
kmr0877 / Vehicle And Speed IdentificationDetecting Cars in real time and identifying the speed of cars and tracking
michelpf / Fiap Ml Visao ComputacionalRepositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP
amirhossein-hkh / Facial Expression RecognitionFacial Expression Recognition Using CNN and Haar-Cascade
ahmetozlu / Human Computer InteractionFist, palm and hand detection & tracking for intelligent human-computer interaction game character movement control with OpenCV on Java (Processing sketchbook).
wiseaidev / Face Recogntion DetectionFace Recognition/Detection (image/video) using skin tone threshold algorithm, haar cascade for face detection and LBPH for face recognition. It also implements the concept of multithreaded server with multiple clients.
shashankch292 / Face Detection Recognition Based Attendance SystemFace Detection & Recognition Based Attendence System
amannirala13 / HAAR Cascade Trainer Linux🖼️ This is a HAAR Cascade Classifier training GUI application for Linux. This application make it really easy to train classifiers for object detection and tracking using opencv by providing a Graphical user interface to set parameters and perform necessary steps.
justsaumit / Opencv Face Recognition Rpi4College mini-project, Facial Recognition System using OpenCV on Raspberry Pi 4. Using simple Haar-Cascade and LBPH to detect and recognize. Picamera2 library for latest camera-stack
Souravjyoti / Bird DetectionReal-time bird detection. A possible solution to avoid airplane nightmare.
xsyann / DetectionObject detection using OpenCV Haar Feature-based Cascade Classifiers
vshantam / Age PredictionThis Project is an applicaton based on Computer vision and Machine learning implementation using regression supervised classification.
calapsss / Face Detection TutorialA simple facial recognition system using OpenCV and Raspberry Pi 4. Haar cascade classifier is used to detect faces in input image. Steps to set up system and required libraries are outlined in README. Ideal starting point for learning about facial recognition and open-source implementation.
