AI Enabled Smart Campus for Health Safety and Monitoring

This project presents a prototype of an intelligent access control system that interfaces Arduino with various sensors and indicators to enhance security and safety measures. The system integrates an MLX temperature sensor, an IR sensor, a buzzer, an LCD display, green and red indicator lights, and a servo motor to simulate a gate's operation. Additionally, it incorporates a Python-based face detection algorithm that utilizes a PC's and a camera for mask detection. The system's workflow begins when the IR sensor detects the presence of a person approaching the access point. Once activated, the temperature sensor measures the individual's body temperature to identify potential fever symptoms. Concurrently, the Python algorithm analyses the person's face using the webcam to assess mask compliance. If the temperature reading is within the acceptable range and the mask detection algorithm confirms proper mask usage, the system activates the green indicator light, signalling permission for entry. Simultaneously, the servo motor mimics the opening of a gate.

In contrast, if the temperature reading exceeds the specified threshold or the mask detection algorithm detects non-compliance, the system triggers the red indicator light and activates a buzzer to deny access. This comprehensive prototype combines temperature monitoring, mask detection, and access control, making it a valuable tool for enhancing safety in various public spaces, such as airports, hospitals, and commercial buildings, during health crises like pandemics.

Keywords: Arduino, MLX temperature sensor, IR sensor, buzzer, LCD, green light, red light, servo motor.