DEVELOPMENT AND OPTIMIZATION OF A REAL-TIME CAMPUS SECURITY SURVEILLANCE SYSTEM USING ARDUINO AND CCTV CAMERA
Keywords:
Arduino Uno microcontrollers, CCTV cameras, Surveillance, securityAbstract
This project presents the development and optimization of real-time campus security survillance system leveraging Arduino technology and CCTV cameras to enhance campus safety and security. The system integrates hardware components, including Arduino Uno board, Wi-Fi modules cameras, motion sensors and SD card to achieve seamless operation. PIR sensors detect motion and triggers the Arduino to adjust the camera’s position and activate recording. Machine algorithm such as k-means clustering was employed for anomaly detection, enabling the system to identify suspicious activity and send real-time alerts to designated devices. The system’s accuracy is consistently high across tests ranging from 94.75% to 98.75%. Precision shows the system is generally good at minimizing false positive, though with some variability. Recall values suggest that the system effectively detect most motion event. The implementation of the system enhances campus security by providing real-time alerts and efficient monitoring.