Your browser doesn't support javascript.
An Improved Computer Vision based Face Mask Detection and Alerting System
2023 IEEE International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 ; : 510-515, 2023.
Article in English | Scopus | ID: covidwho-2324265
ABSTRACT
A global healthcare crisis has been declared as a result of the covid-19 nandemic's extensive snread. The coronavirus spreads mostly by the release of droplets from an infected person's irritated nose and throat. The risk of spreading disease is highest in public gathering places. Wearing a facial mask in public is one of the greatest ways, according to the World Health Organization, to avoid getting an infectious disease. This research work proposes an approach to human face mask detection using TensorFlow and OpenCV. Whether or not a character is wearing a mask is indicated by an enclosing field drawn around their head. An alert email will be sent to a person whose face is in the database if they make a call without a mask worn. © 2023 IEEE.
Keywords

Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 2023 IEEE International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 Year: 2023 Document Type: Article

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: Databases of international organizations Database: Scopus Type of study: Prognostic study Language: English Journal: 2023 IEEE International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2023 Year: 2023 Document Type: Article