A Smart Surveillance Prototype Ensures the Respect of Social Distance During COVID19

Ben abdel ouahab, Ikram; Elaachak, Lotfi; Elouaai, Fatiha; Bouhorma, Mohammed

At the moment, the best and only way to reduce the spread of coronavirus disease 2019 is by limiting close contact with others. Respecting social distance, infection is less probable. Since this is a new lifestyle for everyone, it’s hard to be distance all the times. People forget to keep distance or they are not taking seriously the actual situation. That’s why in this paper, we propose a smart surveillance solution. Our test prototype ensures the respect of social distancing by detecting persons, calculating distances between them and generating loud vocal alerts. The smart surveillance prototype is based on Raspberry Pi and Camera Pi. Then, we make a comparison study of object detection pretrained models. SSD-MobileNet gives the most satisfying result using Raspberry pi with limited computing resources. Despite that implementing CNN based model on the Raspberry Pi is such a challenging work, we reach a value of 1,1 FPS on real-time object detection and distance analysis system.