Smart Disease Prevention System

ABSTRACT

Up till now many lives were lost due to various contagious s like swine flu, encephalitis, etc. Also, the whole world has faced the COVID-19 pandemic situation recently. These situations led to the thought of designing such a system that can be installed at the entry and exit gate of a mall to reduce the spread of contagious s. The proposed work is created as a prototype to not only detect the face mask and sense the body temperature but also controlling the crowd inside a mall to maintain social distancing. Additionally, the system is strengthened by a sanitization module after entering to the mall. It is a single integrated solution to all the challenges consisting of all these four modules. Apart from malls, this system can be deployed in places like shops, banks, etc. Once the person is detected at the entry gate, the count of people inside the mall is checked to maintain the social distancing norms. If found a less number of people are inside, it checks for a face mask and body temperature. When all three conditions are satisfied, it opens the door and activates the sanitization module. This system uses a Convolution Neural Network (CNN) for face detection, the MLX90614 temperature sensor for temperature sensing, and a servo motor for door control. All the modules are integrated with Raspberry-pi. The system is tested for all possible conditions and results are produced. It can be customized depending on the area of a mall or the shop and the size of the door. © 2022 IEEE.