Deep Learning Approach for detecting Covid-19 Face mask using YOLOv4 Algorithm
Deep Learning Approach for detecting Covid-19 Face mask using YOLOv4 Algorithm
Rutuja R. Mahurkar,Naresh G. Gadge
TLDR
A deep learning model using the YOLOv4 object detection algorithm is used for detecting whether people are wearing a mask or not, from images and video streams, and CSPDarknet53 is use for extracting facial mask features.
摘要
The Covid-19 is declared a pandemic all over the world by WHO on 11 March 2020. Various guidelines were issued by WHO for the prevention of coronavirus. One of the guidelines is wearing a face mask. From the various researches, it is proven that wearing a face mask minimizes the risk of virus transmission. Thus, a system is needed which reduces the load on governing body in the accomplishment of Covid-19 laws in crowded public places. A deep learning model using the YOLOv4 object detection algorithm is used for detecting whether people are wearing a mask or not, from images and video streams. In the proposed methodology, CSPDarknet53 is used for extracting facial mask features.