Year: 2024
Type: article
Abstract: Wearing a face mask in public is the most effective preventive approach against the corona virus COVID-19 pandemic, according to the World Health Organization (WHO), which is producing a global health calamity. Lockdowns were imposed by governments across the globe as a means of controlling the spread of the virus due to the COVID-19 pandemic. There are indications that wearing a face mask at work greatly lowers the likelihood of transmission. a productive and economical way to use AI to establish safety in an industrial scenario. A deep learning model will be used to show face mask detection. We'll use a face mask detection dataset made up of photographs taken with and without masks to use OpenCV to detect faces in real time from a live feed captured by our webcam. We will create a deep learning COVID-19 face mask detector with Python, OpenCV, and Karas. We aim to identify whether or not the person in the image/video stream is wearing a face mask using deep learning.
Author: Mr. Parvinder Kumar
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4404504867