Face Mask and Social Distancing Detection in Real Time

Le résumé fourni par la source

With the recent outbreak and rapid transmission of the COVID-19 pandemic, the need for the people to follow social distancing and wear masks in public is only increasing. So, the main objective of this chapter is to build a machine learning model based on TensorFlow object detection API and YOLO Objection Detection that will determine a green and red rectangle around the face if the person detected in the camera wears or does not wear a mask, along with an email alert being sent to the authority in charge informing about a person's violation of face mask policy and will return a green or red bounding box accordingly if social distancing is maintained between two people and at the same time alert others by a beep alarm. The accuracy of the model is nearly 97% so it can be used by governments to alert people if the situation turns serious.

Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.