Performance of Secure Door Access System Using Identification Numbers, Fingerprints, and Facial Recognition

Abstract

Layered door security systems are increasingly essential in enhancing safety and convenience for people in their daily lives. Features such as ID number technology, fingerprints, and facial recognition can be employed in the security system. This study aims to develop and validate a system that authenticates the user’s identity as they pass through a doorway. The sensors utilized include of PN 532 as an ID number detection sensor, FPM10A as a fingerprint detection sensor, and ESP32CAM as a facial image detection sensor. The system is structured hierarchically and linked to the Internet of Things (IoT) in order to enable remote monitoring through the utilization of the Blynk application. This gadget employs a servo motor for door access control and incorporates an RFID module in its use. This study employs an Atmega328 microcontroller for the purpose of data processing. The PN532 test yielded a sensitivity rate of 100% and successfully detected and read RFID data from E-KTP chips. The testing of the FPM10A sensor demonstrated a sensitivity level of 90%. In addition, the testing of ESP32CAM demonstrates a sensitivity rate of 85%. Based on the test findings, the overall system achieved a tool performance score of 91.6%, indicating that the system is functioning effectively.