Conception et Réalisation d’un Système Intelligent de Surveillance basée sur Raspberry Pi dans le Contexte du Covid-19

Abstract

SARS-CoV-2 is one of the deadliest pandemics the world has ever seen. More than 6 million people have lost their lives to date. It is a pandemic that has developed at a rapid pace and has caused a health crisis. Thus, doctors and scientists have suggested means of protection in particular the wearing of masks and the respect of social distancing. In our work, the face detection technique based on deep learning is used. We propose a new face mask detection model which is realized using a computer vision image classification algorithm based on the neural network of the CNN architecture and the libraries of the Python language. For the measure of distancing, we use the Euclidean distance for the calculation. All these methods have been implemented in the Raspberry Pi 4 and visualized by a camera in real time.