REAL TIME IDENTIFICATION PROCESSING FOR SECURTY SYSTEM

Abstract

We created a comprehensive smart access control system within an Anaconda environment, using an Arduino UNO as the system's actuator. The main hardware components of the system are a laptop, an RFID reader, a webcam, an Arduino UNO, and a micro-servo SG90. The objective is to guarantee secure access to a limited area by verifying the individual's identification using facial recognition and subsequently validating the unique identifier (UID) of RFID cards or tags. The DeepFace module, employing facial recognition technology, will verify the identification of the individual entering the premises. The webcam captures a real-time view, while the micro-servo SG90 replicates the functioning of the door lock. Moreover, the LED indicator will offer visual signals. The system demonstrates its capability to authenticate people by utilizing a database consisting of only two images for verification. Additionally, it employs RFID identification as an additional measure to enhance security.