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IoT-Based Student Monitoring System for Smart School Applications

Internet-of-things (IoT) provides a framework for integrated computing devices with sensors, smartphones, and cloud computing platforms for interaction between devices. Smart School is one of the concepts of IoT and is also a solution for education for student monitoring problems. In this study, student monitoring is proposed using an IP-based CCTV system with the ability to detect and recognize people. With the support of the use of beacon chips as student identity, the system can simplify problems of face identification to face verification. The use of fingerprinting techniques is a general technique used to determine the position of objects when using beacon chips based on transmitter signals so that the position of a student's face can be determined based on the user's position. The face verification process is then carried out by combining fingerprinting techniques and facial recognition captured by CCTV cameras with a face comparison method of OpenFace. Experimental results show that the proposed system provides good accuracy on student monitoring for smart school applications.