Face Mask Detection with Contactless Temperature using MATLAB

In today's environment, wearing a mask is required because the coronavirus has infected individuals all over the world. It is a lethal virus that kills everyone. Many restrictions, such as social separation and lockdown, have been enacted by our governments. One of the first signs is a rise in body temperature. It would be impossible to check everyone's temperature in public locations because there is a risk of spreading when people come into contact with each other. This can be achieved using an automated temperature sensor to check the intruder's body temperature. The major goal of this system is to detect and compare whether the individuals are wearing masks and also whether their body temperature is normal. The temperature is measured using a contactless temperature sensor, the MLX90614. If the model detects a high temperature or a person without a mask, the buzzer will sound, and the LED will turn red, indicating that the person is experiencing COVID symptoms. Otherwise, the door will be left open to allow the individual into the room. And the LCD will show all the collected data, such as the exact body temperature, whether it is normal or abnormal, and so on. The LCD provides users with a simple interface. The LEDs are used to provide an indication. To make sensor calibration and debugging easier, the proposed system will be divided into two subsystems: a contactless temperature scanner system and a MATLAB camera system. Individual circuits are designed and tested before being combined to make the final functional prototype.