An Efficient, Novel, and Sustainable IoT-Based Approach for Attendance Detection through RFID Module and IR Sensor

Abstract

The maintenance of student attendance at a facility is a challenging endeavor. The attendance is manually inputted, making it easily manipulatable. To effectively monitor and control student attendance in a setting, this research intends to build an intelligent attendance system with a sustainable approach to the problem. This study indicates employing RFID and IR sensors to automatically take attendance. Data can be viewed and stored in a real-time database using RFID (Radio Frequency Identification). The firebase database/google sheets are updated when the student’s card is brought close to the RFID module. Additionally, an IR sensor is employed to keep track of the overall number of students entering and leaving the classroom. It would be useful to know how many students are in the class overall, and how many students are in the class overall would be displayed on the LCD outside the class. The outcomes of the research on student attendance will be communicated to the parents, and the number of students in attendance overall will be forwarded to the higher representatives of the institutions. The system alerts the user if there is any discrepancy between the number of RFID tags scanned and the total number of students present in the classroom. The teacher must manually rectify the attendance error after the disparity in the count reveals the proxy in attendance. Future expansion of this research may include the use of biometrics and face recognition to detect the proxy and open up the possibility for a more sustainable environment.