Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

MaskedFace-Net is a dataset of human faces with a correctly and incorrectly worn mask based on the dataset Flickr-Faces-HQ (FFHQ).

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Linux Server SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Attribute Analysis

Fast, Accurate, Mask-Aware Face Recognition SDK with Liveness Detection

⛑️⚒️ Custom object detection for PPE Detection of Construction Site Workers. This repo contains notebook for PPE Detection using YoloV8.

Real-time video streaming mask detection based on Python. Designed to defeat COVID-19.

3DiVi Face SDK is a set of software components (code libraries) for building face recognition solutions

NIST_FRVT Top 1🏆 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Windows Server SDK Demo ☑️ Face Recognition ☑️ Face Matching ☑️ Face Liveness Detection ☑️ Face Identification (1:N Face Search) ☑️ Face Attribute Analysis

Recognize 2000+ faces on your Jetson Nano with additional mask detection, auto-fill and anti-spoofing

Simple Mask Detection

Detection masks on faces.

In-browser Real-time Mask Detection | Deployment part. Based on NCNN and Web-Assembly.

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

A pre-trained YOLOv3 based mask detection network.

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.

This project involves automating the attendance system of RT Knits using Face Recognition. Due to Covid-19, people are obliged to wear masks hence, the system is successful in recognizing people despite wearing masks.

This is a demo project that incorporates 3D passive face liveness detection, face recognition, face capture, and analysis of face attributes including age, gender, face quality, face occlusion, eye closure, and mouth opening.

A face mask detection system using Tensorflow/Keras and OpenCV, for the "<19 Szabadfogású Számítógép" competition in 2020.