AUTOMATIC DOOR AUTOMATION WITH REAL TIME FACE MASK DETECTION









Abstract

In this paper, we present a smart framework for detecting facemask. As the number of cases of covid19 decreases, more and more workplaces are opening with half or full staff. Even educational institutions are slated to open. This system can be installed in the entrances of businesses, educational institutions, public and private offices to screen people who are not wearing masks. The system will open the door if it detects a face without a mask. YOLO stands for You Only Look Once, and this algorithm is used for both Object Detection and Object Tracking. This research uses YOLO for calculating social distancing and identifying face masks on people's faces with the help of Object Detection, whereas Object Tracking is used for tracking the face and people in the frame for counting the objects and keeping a record of that object in the next frame. The minimum distance to maintain while adhering to social distancing is 6 feet, and the model was trained and used for object detection as well as object tracking using this as the base.


Modules


Algorithms


Software And Hardware