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face liveness detection activate, the script asks the person to generate an action, for example one of the actions they may ask you to do is smile, turn your face to the right, get angry, blink, etc. The actions are requested randomly, after fulfilling all the actions it generates a message saying "liveness successful" or "liveness fail"
This repo contains, training material, dlib implementation, tensorflow implementation and an own made complete system implementation with a parse-controller.
AI-Proctoring Framework runs in the background on the examinee’s machine, and tracks any kind of unwanted (Suspicious) activity of the candidate. Mouth Tracking, Blink Detection, Gaze Detection, Object Detection & Liveness Detection are few of the algorithms implemented in this Framework.
This is the official code and data for paper "SynBlink and BlinkFormer: A Synthetic Dataset and Transformer-Based Method for Video Blink Detection", accepted by BMVC 2023.
Build on Python using Computer Vision libraries of Python (Dlib and OpenCV). It detects and counts the number of eye blinks in a video. It works on the concept of Eye aspect ratio.
This project detects eye blinks in real-time using Eye Aspect Ratio (EAR) and MediaPipe's facial landmark detection. It draws eye landmarks, calculates the EAR, and plots the results in real-time.
precensAI is an AI-driven app for automatic attendance tracking using facial recognition. It ensures real-time detection with anti-spoofing measures, streamlining attendance for classrooms and workplaces. Developed to modernize attendance systems, it was built for AI and tech competitions.
Um teclado virtual projetado para proporcionar uma forma alternativa de interação, permitindo que os usuários controlem a digitação por meio de piscadas.