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.

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

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

Tata Innoverse SolverHunt 8 Submission. Built a realtime face mask detection and social distancing detector.

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 Intere…

An approach to detecting face masks in crowded places built using RetinaNet Face for face mask detection and Xception network for classification.

COVID-19: Face Mask Detector

SOCIAL DISTANCING AND FACE MASK DETECTOR

A library and command line utility for detecting face masks in images and video streams

Deep Learning Model to detect whether a person is wearing a face mask or not

A simple mask detector on Google colab. Model trained using yolov4.

It can detect face mask from images and real time videos.(VGG 16,OPENCV & KERAS)

Implementation of Face Mask Detector with OpenCV, Keras/TensorFlow, and Deep Learning

Face Mask Detection is a Python Project which is used with Attendance System Machine , the Attendance can only be marked if the Software detects you with a mask, otherwise the system will not accept your attendance. A Software useful for companies as a preventive measure of corona.

YOLOv3 weight for face mask detector.

Face mask detection based on tensorflow 2 object detection API using Efficientdet-D1 model. This project can perform face mask detection on images as well as videos.

A Machine Learning Real-time Face Mask Detection project built in Python using OpenCV, Tensorflow, and Keras

The aim of this project is to avoid the spread of the covid-19 virus and protect people. The face mask detector detects whether a person is wearing a face mask or not.

In this Project Person with Face Mask detect. If a person wears a face mask then it allowed a person to the office otherwise it generates a warning message and sends it to the authority's email addresses.

This face mask detector is accurate, and since we used the MobileNetV2 architecture, it’s also computationally efficient, making it easier to deploy the model to embedded systems.