Smart Hi-Fi Attendance using Palm Veins

Abstract

Abstract: In our academics’ attendance plays a significant role where it is taken in the traditional way, which consumes a lot of time and manpower and the process is hectic. There comes the automated attendance system to solve these problems in the conventional way, but these automated systems also face some drawbacks such as processes time, accuracy, and contact attendance systems (fingerprint), which leads to the next generation of attendance systems, which overcomes all these issues with the help of palm vein and RFID (Radio-Frequency Identification) sensors. The palm vein sensor uses an infrared camera that captures the student's palm vein image when placed in front of the camera. After that, the image was extracted to reveal biological palm vein data that is unique for each human, even for identical twins as per research. The extracted biological features are then compared with previously stored features in the database. And to avoid cheating and malpractices, we are verifying the student again (two-step authentication) with the help of RFID cards when the student crosses the RFID transmitter If both conditions are met, then it allows the system to mark students with attendance.