Developed as a Undergraduate Project under the guidance of Mr. P. P. D. Sarma, Assistant Professor, LCBC Maligaon.
- It's a web application using Django framework, through which a user can use cemera feed to detect people wearing facemask or not and storing the captures as per user requirements.
- Employs TensorFlow and OpenCV to detect face masks on peoples.
- Tools/ Technologies used : HTML, CSS, Javascript, Python, SQLite3.
#Developed by:-
- Ripunjay Choudhury (US-191-023-0042) https://ripunjay-code.netlify.app
- Pijush Sarma (US-191-023-0034)
- Nishanta Kakati (US-191-023-0032) https://spidernishanta.github.io
#URL
https://facemask-detector8.onrender.com/
#DEMO Screenshots:-
https://drive.google.com/drive/folders/16e4vVclG_VGmullu36Jjv7UXbqHZi7ZJ?usp=sharing