IoT-Based Temperature and Mask Entry Scan System

An Internet of Things (IoT)-based system is developed in this project to automate entry validation using facial mask detection and body temperature. The system uses a DHT11 sensor to monitor body temperature and an ESP32-CAM to take photographs. The technology first determines whether the user's temperature is within a safe range before taking a picture of their face. The presence of a face mask is verified using an image recognition technique. The system opens the door and activates an LED or buzzer to provide entry if both requirements are satisfied. Access is refused and the proper alarms are activated immediately if the requirements are not fulfilled. By ensuring effective access management, this system supports safety and health precautions.