Intelligent Attendance System with Facial Recognition and Wireless Integration

Abstract— In modern institutions and organisations, maintaining accurate attendance records is essential for ensuring compliance and equality. A secure and reliable attendance system is crucial for preventing fraud, reducing the potential for manipulation, and ensuring the integrity of data. This paper presents an innovative model of an automated attendance system to reduce the manual effort for attendance registration and eliminate the chances of fraudulence. The model focuses on the integration between face recognition and radio frequency identification (RFID) to detect only the authorised persons and mark attendance for them. Also, this system captures and logs attendance data securely, which can be accessed in real-time through a locally hosted website. This web interface provides administrators with a user-friendly platform to monitor attendance and download logs for record-keeping and analysis, hence reducing the tedious manual task. By recognising the face of the individual and verifying it by RFID simultaneously, the limitations in the existing manual attendance system are mostly eliminated. Another important feature of the project is that all the face recognition and website hosting is done on the same Raspberry Pi unit, which will reduce the overall cost of the project. Keywords— Automated attendance, ESP32, Face recognition, Image processing, OpenCV, Raspberry pi 3, RFID readers, RFID tags