A Face Recognition-Based Intruder Detection System for Automatic Door Control

Abstract

In recent years, theft and unauthorized access to private areas in homes and communities has become a growing concern, leaving individuals feeling insecure about their lives and properties. To address this problem, this paper proposes a solution that features a facial recognition system to prevent entry by unauthorized individuals. The system uses an ESP32 Camera module and the Arduino Integrated Development Environment (IDE) to capture and store facial biometric details through facial recognition techniques. The data is saved in a database that is accessible through a web interface enabled by HOTSPOT connection. The camera's Internet Protocol (IP) address also allows for live streaming as an added feature. An ATmega328 microcontroller on the Arduino IDE receives signals from the ESP32 camera, process the data and operate the door accordingly. When the ESP32 Camera recognizes a face, it sends a signal to the microcontroller to open the door. If the face is not recognized, the door is kept locked to prevent entry by intruders. The proposed solution effectively identifies intruders and those with authorized access but grants access only to authorized individuals in its database. This ensures a secure environment for homes and communities, providing peace of mind to individuals who have long been worried about theft and unauthorized access. Results demonstrate that the proposed facial recognition system is has been able to provide a secure environment for homes and communities by denying entry to intruders and granting access only to recognized individuals.