Development of face recognition door lock system by using ESP32-CAM

Mohamad, Muhammad Firdaus (2025) Development of face recognition door lock system by using ESP32-CAM. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Door security technology has progressed greatly, combining innovative ways and technologies to protect the safety and security of homes, workplaces, and other locations. The project presents a Face Recognition Door Lock System that uses the ESP32-Cam. The main focus of the system is on safety, security, and cost-effectiveness by includes Internet of Things (IoT) technology. The system of the ESP32-Cam module for instant face recognition and connects it to a solenoid valve for managing door access. The camera sends data to an IoT platform where face recognition algorithms detect users, allowing the solenoid valve to unlock the door upon successful verification. By including a user interface accessible through internet-connected devices, the system ensures easy usability and administration. The developed system demonstrates reliable face recognition capabilities, allowing only an authorized individuals to enter the protected area, while the IoT integration enhances remote monitoring and control. An evaluation shows that using the ESP32-CAM and solenoid valves provides a cost-effective alternative compared to traditional security systems. This brings improvements to safety and convenience, using face recognition technology to improvise security measures and user experience. To summarize, the Face Recognition Door Lock System effectively meets modern security requirements, offering a robust, affordable, and friendly-use solution for security access control with potential for wider application in various security settings.

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