Computer Vision Crowd Detection System
Ms. P. A. Jankar · International Journal for Research in Applied Science and Engineering Technology · 2021
Now days, everyone is facing with the problem of very dangerous disease that is COVID-19. The virus is transmitted through infected person coughs, sneezes or exhales. So, maintaining close face to face contact with other peoples is the best solution (way) to minimize the spread of corona virus disease 2019(covid19). COVID-19 spreads mainly among people who are in close contact for a prolonged period so this problem is mostly occurred in public places like collages, schools, malls, stations, etc. We need of surveillance system that could be monitor and detect if the people are following social distance or not. This operation of making observations proposes an artificial intelligence system for grouping distancing of persons using images. An algorithm is also instrumented for measuring and putting in order the distance between persons and to automatically check if grouping distancing rules are respected or not.