AI-Face-and-Age-Detector

In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

Face mask detector - Flutter application to detect face mask from image and live camera feed.

A real-time face mask detector based on computer vision and deep learning, created using Pytorch and OpenCV

This library is built to provide a solution analysis of human face recognition. This library analyzes each face and provides statistics for Angular web applications easily.

This is a simple image classification project trained on the top of Keras/Tensorflow API with MobileNetV2 deep neural network architecture having weights considered as pre-trained 'imagenet' weights. The trained model (mask-detector-model.h5) takes the real-time video from webcam as an input and predicts if the face landmarks in Region of Interest (ROI) is 'Mask' or 'No Mask' with real-time on screen accuracy.

Front-end of Facify app

trained on own CNN model and tested on web camera