Particularly in large educational or business environments, traditional attendance methods like human roll-calls or paper-based registers are ineffective, time-consuming, and prone to errors.

Abstract: This research zeroes in on the processing of RFID data and puts forward a deep learning-based approach to achieve classification and anomaly detection. The core algorithm is the ...