Compare neural networks YOLOv3 ، YOLOv5s،MobileNet-SSD V2 to detect face masks in real time

Document Type : Original Article

Abstract
Surveys, evaluations using multiple cases show their true potential and there
are important technologies in various fields. One of the most popular
applications of concepts is object recognition and tracking. Recent products
show promising results in this regard.These systems can be compared and
compared, which analyzes the images and determines whether the person has
used the mask correctly, incorrectly or not at all. Mask detection is performed
on real-time video and surveillance systems using three widely used machine
image algorithms: Yolon3, Yolon5 and MobileNet-SSD V1. Recognized. Will
be judged.The performance results of the three algorithms for detecting the
presence of a face mask on a person in real time are determined in terms of
FPS