• praveen sai krishna
• Fatxi Aidid Osman
• nitin

Social distancing plays an important role to curb infectious diseases(COVID-19). Individuals have approached stope gatherings in crowded places, so there are chances to control the spread of the virus till a vaccine is found. At present days AI and IoT-based technologies are help full for solving daily life problems. and many chores have been automated by using them. In this report, we used python combined with artificial intelligence and computer vision to observe social distancing. The proposed system uses the YOLO v3 object recognition model to detect people in a video outline and then transforming that video frame to a bird's eye view for precise measurement of the distance between two persons and hardware to turn on the buzzer via IoT. The framework also proposes different features for different environments where the system is deployed like keeping track of Queue in Banks, Railway stations, Bus stands, etc., and areas where people gather more often, notifying people at the end of the day in private workplaces if they do not maintain social distancing, etc. keywords – YOLO v3, Human detection, Bird’s eye view transformation, Social Distancing, Queue management, send data to wireless node

YOLO v3, Human detection, Bird’s eye view transformation, Social Distancing, Queue management,

"Social Distancing Surveillance System For Public Places And Queue management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 5, page no.b218-b221, May-2021, Available :http://www.jetir.org/papers/JETIR2105156.pdf

"Social Distancing Surveillance System For Public Places And Queue management", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 5, page no. ppb218-b221, May-2021, Available at : http://www.jetir.org/papers/JETIR2105156.pdf