AI Based Smart Phone Detection in Classroom

Theevolvinglandscapeofeducationalenvironmentsnecessitates theintegration of intelligent systems to enhance classroom management and energy efficiency. This paper introduces a comprehensive Classroom Monitoring System (CMS) that amalgamates advanced technologies to address key challenges in modern classrooms. The system employs the YOLO (You Only Look Once) algorithm for real-time phone detection, ensuring that students remain focused during instructional time. Additionally, an RFID-based attendance system automates student check-ins, reducing administrative overhead and mitigating proxy attendanceissues.TheincorporationofaPIR(PassiveInfrared)sensorfacilitates automatic lighting control, turning lights onwhenoccupancy is detected and off whentheroomisunoccupied,therebyconservingenergy.Furthermore,aDHT11 temperature and humidity sensor monitors ambient conditions to regulate fan operation, ensuring comfort while optimizing power consumption. This multifaceted approach not only streamlines classroom operations but also promotes an eco-friendly and distraction-free learning environment.