Computer vision project focuses on text recognition, face detection, and face recognition. Uses Tesseract OCR, OpenCV, HaarCascade, FreeTTS, Dlib, Java & Python. Offers comprehensive exploration of computer vision techniques. Valuable resource for students & researchers. Code included.

A fatigue detection and alert system that can be easily installed in vehicles to prevent road accidents. The system runs on a Raspberry Pi module and works by analyzing the eye closure duration and yawn frequency and alerting the driver by activating LEDs, buzzers and sending warning message to his emergency contacts.

face landmark detection for Android devices with c++, dlib, java, OpenCV

detection with Dlib on android,include eyes blink detection,head orientation detection

Emotions recognition android app based on OpenCV, dlib, Weka and Tensorflow

Dlib's face recognition model evaluation on LFW dataset

Java wrapper for the DLib library

Android Based Drowsy Driver Detection Application

Android native application to perform head pose estimation using images coming from the front camera.

👦 Fast-Face : Android App for Real-time Face Landmark Detection. You can check your landmarks in 60ms

an Android app kind like Facerig(but simpler)

Android AR Camera