Face Mask Detection Program

Real-time FaceMask detection using Deep Learning and OpenCV & Intelligent Entry System for Covid Security implemented using arduino

Face Mask detection built using PyTorch specifically CNN having an accuracy of 98%.

An interactive web application that allows users to determine whether a person is wearing a mask.

Industry standard Facemask detection with deep learning model!😊

1st year internship

YOLOv5 model trained on a custom dataset to detect human faces and label them according to the facemasks.

A python implementation of Face Mask detection of the WIDER Face dataset.

Face Detector Website

Realtime face mask detection using deep learning

Experiment: Object detection and streamlit app development for face masks

Mukh-O-Mukhosh (Bengali মুখ ও মুখোশ): A Convolutional Neural Network model for Face Mask Detection

Safe Distance and Face Mask Detection using Deep Learning

Computer Vision Practises

FaceMask'd is a face mask recognition web app built with p5.js, ml5.js and Django.

This is my TE miniproject for the SPPU seminar , which uses deep learning concepts to implement Face mask detection module.

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.

It can be used as a real-time surveillance system or integrated into existing security systems, such as CCTV. this AI can help reduce the spread of viruses and other airborne diseases by reminding people to wear masks in public areas and helping security personnel monitor compliance.

Covid19 face mask detector using Deep Learning and Computer Vision techniques.