Deep neural network trained to detect eye contact from facial image

Head Pose Estimator on Caffe

Spring-boot+ElasticSearch+LIRE+SwaggerUI RESTful.

OneStopVision is an open-source toolkit offering a comprehensive suite of algorithms for face and body analysis, landmark extraction, and ControlNet integration in Stable Diffusion.

Driver Drowsiness Detection - A robust solution leveraging computer vision and machine learning. Unleash the power of facial and eye movement analysis for real-time fatigue alerts, contributing to an unparalleled level of road safety.

facialAnalysisLiteDetection2D: Detector implementation for the analysis of facial features. Using the cvlib API analysis for gender extraction and prediction. Via OpenCV DNN, age prediction. Through tensorflow, emotion detection. Image source reception via YARP, processing and sending of detections via YARP port.

DeepFace Library lets you recognize and analyze faces quickly with models like VGGFace and Facenet.

Total 50 persons in indoor scenario, with balanced agender, age from 18 to 50. Each face is annotated with 182 key points, facilitating precise facial feature tracking and analysis.