Real-time temperature detection and Mask entry system

Abstract

Corona virus disease (COVID-19) is an infectious disease caused by the SARS-CoV-2 virus that causes illness in the Respiratory system in humans. Covid-19 affected our day-to- day life and still, it is continuing to mutate. Though we have discovered vaccines for the treatments, we can’t stop them from spreading. To prevent us from Covid-19, we have to wear a mask and maintain Social distance in public places. Here, we are making an Embedded system device that automatically detects the temperature of a person and checks whether the person wears a mask or not in public places such as Hospitals, Shopping Malls, Stations, etc. The Government of India has made wearing face masks compulsory but the people don't wear masks in public places. To create awareness among the public, these types of devices would help. Many Face detection models have been developed using different approaches and algorithms. The proposed approach in this paper was developed to avoid mask-less people from entering a desired places by detecting face masks using Deep Learning, Keras library, Tensor Flow and Computer Vision. MLX90614 ESF Non-Contact Human Body Infrared Temperature Measurement Module is used to detect the temperature of a person without contact. Adriano is used as a Microprocessor. If either a person doesn’t wear a mask or the temperature of that person is above normal, then it detects it and starts making a sound (alarm) using Buzzer. If a person wears a mask and the temperature of that person is normal, then it detects it and allows that person to Enter.