Covid protocols adherence detection in multi people interaction using deep learning YOLO V3 algorithm for covid prevention.

Autor: Nimje, Sakshi, Ahmad, Mayal, Thakur, Raj, Tomar, Sanjeev Kumar, Singh, Prabhishek, Diwakar, Manoj, Galwan, Manish, Bhatt, Siddharth Shankar
Předmět:
Zdroj: AIP Conference Proceedings; 2023, Vol. 2771 Issue 1, p1-7, 7p
Abstrakt: The fight during pandemic has been very difficult, and the only effective prevention was to maintain Social Distancing. Maintaining social distancing allowed the disease to spread at a slower rate. Social Distancingis basically meant for people to avoid contact and interaction in public. Even in the past Artificial Intelligence proved to give some promising results to avoid common life problems. The desired prototype will be provided with some detailed information on using python, CV, deep learning to keep a check on people and their distancing. In order to maintain social distancing on streets this tool will be subjected, thus it will allow a safe distance between people. Observing People at work environments, processing plants, shops we can coordinate this device to theirsurveillance camera frameworks and can screen whether individuals are maintaining a protected separation fromone another or not. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index