UPES student develops Face Mask Detection System using ML

UPES student Abhinav Mudgal (B.Tech. Mechatronics batch 2017-2021) has developed a face mask detection technique using Machine Learning under the guidance of Dr. Natraj Mishra, Faculty, Department of Mechanical Engineering.

Developed using Supervised Learning paradigm and PC Web Camera to detect people with or without masks, this system can be implemented at colleges, airports, hospitals, and offices where chances of spread of COVID-19 through contagion are relatively higher.

The main goal of the project is to implement this system at colleges, airports, hospitals, and offices where chances of spread of COVID-19 through contagion are relatively higher. Abhinav says, “Face data of students, travellers, employees and workers will be captured in the system at the entrance. If anyone is found to be without a face mask, their picture will be sent to the authorities so that they can take quick action and the individual will receive a notification to wear a mask. The Face Mask Detection System will also monitor employees without masks and will send them a reminder to wear one.”