Article’s

This paper presents a Smart Door Lock System based on fingerprint and face recognition techniques to enhance security and access control in modern environments. The proposed system utilizes an Android application with an inbuilt fingerprint sensor for fingerprint authentication, while Python OpenCV algorithms are employed for facial recognition. The ESP8266 NodeMCU acts as the central processing and communication unit that receives authentication results from both biometric modules. A relay module interfaced with the ESP8266 controls the electronic door lock powered by a 12V battery supply. The system grants access only when both fingerprint verification and facial recognition are successfully completed, thereby reducing the possibility of unauthorized entry. Unlike conventional lock systems that rely on physical keys or passwords, the proposed approach offers a secure, reliable, and automated access control solution. The developed prototype demonstrates the practical application of IoT and biometric technologies in creating intelligent security systems suitable for homes, offices, laboratories, and other restricted areas.