Smart Covid Protocol Detection System

Smart Covid Protocol Detection System

Author Name : Anjali Sharma, Ujjawal Shukla

ABSTRACT

This research paper describes how we can protect ourselves from coronavirus with the help of some smart system. As we can see the spread of covid-19 is increasing day by day and there is no sign of ending it. WHO has declared covid-19 as global pandemic so Prevention is important from covid which can be done by wearing a face mask and maintaining social distance? But at this stage many people are not following the covid rules, they don’t wear masks and even don’t maintain social distance. So to overcome this problem our proposed solution has 3 components: “SOCIAL DISTANCE DETECTION, MASK DETECTION & PERSON’S IDENTIFICATION” which will help our authorities to capture the people who are violating covid rules. CNN and OpenCV have been used to detect face masks and YOLO has been used for social distance detection.

 KEYWORDS:  Image Processing, CNN, OpenCV, Keras, TensorFlow, MobileNet, YOLO