Face Mask and Body Temperature Based Automatic Entering System

– COVID 19 pandemic is causing a global health epidemic. The most powerful safety tool is wearing a face mask according to medical dept. in public places and everywhere else. The COVID 19 outbreak forced governments around the world to implement lockdowns to reduce virus transmission. According to surveys, wearing a face mask at public places reduces the risk of transmission of COVID 19. In this paper, an IoT-enabled Automatic Entering System that uses a machine learning model for monitoring face mask detection and body temperature. The proposed model can be used for any shopping mall, hotel, apartment entrance or anywhere people needs to enter or pass through etc. As an outcome a cost-effective and reliable method of using AI and sensors to build a healthy environment. Evaluation of the proposed model is done by the Face Mask Detection algorithm using the TensorFlow software library. Besides, the body temperature of the individual is monitored using a non-contact temperature sensor.