Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{167149,
        author = {Siddheshwar Ramling Swami and Anil Pandit Babhulkar and Kishor Pandurang Kale and Prathamesh Raju Athawale and Prof. A. D. Ghuge and Dr. J.R. Mahajan},
        title = {DOOR UNLOCK SYSTEM USING FACE RECOGNITION},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {3},
        pages = {407-410},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=167149},
        abstract = {The rising need for enhanced security systems has led to the development of smart door locks utilizing advanced technologies such as face recognition. Traditional locks and keys are susceptible to loss, theft, and unauthorized duplication. In contrast, biometric systems offer a higher level of security by ensuring that only authorized individuals can gain access. This project aims to design and implement a smart door lock system using the ESP32-CAM module for face recognition, providing a robust, secure, and user-friendly solution for home and office security. The system utilizes the ESP32-CAM module for its built-in camera and Wi-Fi capabilities, making it suitable for remote monitoring and control. Programmed using the Arduino IDE and the ESP-WHO library, the project involves setting up the ESP32-CAM, capturing and registering faces, and controlling a relay module for the door lock mechanism. Face recognition is managed via a web server interface for easy user management. The hardware setup includes the ESP32-CAM, an FTDI programmer, a relay module, and a solenoid lock. The system demonstrated high accuracy in identifying registered faces and efficiently controlled the door lock mechanism, with quick response times. The web server interface enabled seamless user management, proving the system's effectiveness and reliability.},
        keywords = {IDE, Opencv, Face Recognition, relay module and solenoid valve, ESP32 Cam module.},
        month = {August},
        }