Research Article
Social Distancing and Face Mask Detection Using Open CV
@INPROCEEDINGS{10.1007/978-3-031-35078-8_40, author={Majji Ramachandro and Ala Rajitha and Dasari Madhavi and Jagini Naga Padmaja and Ganesh B. Regulwar}, title={Social Distancing and Face Mask Detection Using Open CV}, proceedings={Intelligent Systems and Machine Learning. First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I}, proceedings_a={ICISML}, year={2023}, month={7}, keywords={Coronavirus Covid-19 Face Mask Machine Learning}, doi={10.1007/978-3-031-35078-8_40} }- Majji Ramachandro
Ala Rajitha
Dasari Madhavi
Jagini Naga Padmaja
Ganesh B. Regulwar
Year: 2023
Social Distancing and Face Mask Detection Using Open CV
ICISML
Springer
DOI: 10.1007/978-3-031-35078-8_40
Abstract
In 2019, people are getting sick from the coronavirus. We can only stay safe from the epidemic if we wear masks and stay away from each other. Airports, hotels, hospitals, and train stations, among other places, require users to wear the Mask and stay away from other people. Manually checking people to see if they follow the mask-and-distance rule is hard because it costs a lot. The COVID-19 Face Mask and Social Distancing Detector System uses machine learning to find face masks and social distances at the same time. It does this by combining high-level contextual features with feature maps and an artificial neural network. IP address and CCTV cameras with computer vision would be used in the technology to identify people without masks or social isolation. This solution keeps things safe even when no one is watching. The technology could help hospitals, offices, schools, building sites, airports, and more. People may be safer if they use our face mask and social distance detecting device.
