Improving Security with Smart Door Lock Access Log using ESP32

This paper presents a unique way of door accessing system which uses the ESP32 microcontroller in conjunction with facial recognition technologies. Because of its Wi-Fi functionality and low power consumption, it’s a correct platform for local facial recognition algorithm execution, which guarantees real-time access control without depending on other servers. A pre-trained deep learning model processes facial image data with a camera to recognize faces. The ESP32 determines whether to give or refuse access depending on the comparison of facial features with an authorized database. Security is improved by anti-spoofing methods, and access control. Experiments show the system's viability and efficacy, underscoring its potential in commercial, industrial, and residential environments. This paper advances the field of IoT based security systems by presenting a safe and effective door access method.