Iot based classroom environment monitoring system

Abstract

field communication systems and sensors are playing an important and fundamental role in the Internet of things. RFID is one of the Near field communication technology, and widely used in different sector, such as in transportation, store sales, education, animal husbandry and so on. Because of information can be shared wirelessly via Bluetooth, Wi-Fi, Radio Frequency and Zigbee. Facial recognition is one of the simple and effective bio-metric authentication systems. LBP is a cost effective and simply efficient algorithm for face recognition using two dimensional surface texture operators. This paper is providing a way of accessing and controlling classroom with RFID and Facial recognition techniques. The overall performance of the system is completely monitored via web based framework. The students attendance monitoring and energy preserving activities are controlled by sensors, actuators, RFID tags, RFID reader, camera and raspberry pi kit.