Social Distancing and Face Mask Detection using TensorFlow. Install all required Libraries and GPU drivers as well. Refer to README.md or REPORT for know to installation requirement
During pandemic COVID-19, WHO has made wearing masks compulsory to protect against this deadly virus. In this project we will develop a machine learning project – Real-time Face Mask Detector with Python.
The Face Mask Recognition System uses AI technology to detect the person with or without a mask. It can be connected with any surveillance system installed at your premise. The authorities or admin can check the person through the system to confirm whether the perosn is wearing a mask or not.
This project aims to detect whether a person is wearing a mask or not. It is based on Computer Vision & Deep Learning and is implemented in Python using Keras and OpenCV.
Face Mask Detection could be useful to detect the people in crowd who are not wearing masks. This project aims towards training the YOLO v5 neural network form the data containing images with people wearing mask, incorrectly wearing masks or not wearing the mask at all. The trained YOLO v5 network is applied on images, video or on real time video using web cam
This is a face mask detection system that checks when someone is wearing a mask and if not the system will produce a voice output that informs the person to wear His/Her mask
Final project of AI classes during last year of IT Engineering School. Face mask detector using Tensorflow 2 and Efficientdet D0 and D1 from its Object Detection API.
Face Mask Detection system built with OpenCV, Keras/TensorFlow using fundamental Deep Learning and Computer Vision in order to detect face masks in real-time video streams and send an email if a visitor is found not wearing a mask