Smart Door Lock System using Finger Print and Facial Recognation

MS MIREKHOR BHAGYARATNA (1), Ms. BANDARE RAKSHATA (2),
Ms. PATIL LAXMI (3), Ms. KUMARI KHUSHBU (4), 1
1,2,3,4 Student, A.G. PATIL, POLYTECHNIC INSTITUTE, SOLAPUR

ABSTRACT:With the rapid advancement of the Internet of Things (IoT) and smart home technologies, traditional mechanical locking mechanisms are becoming increasingly obsolete due to vulnerabilities associated with physical keys and password based systems. This paper proposes a secure and convenient Smart Door Lock System that utilizes dual- biometric authentication, integrating both fingerprint recognition and facial recognition to ensure robust access control. The system is built around a microcontroller (e.g., Arduino or ESP32) interfaced with an R305/FPM10A fingerprint sensor and a Raspberry Pi Camera or OV7670 module for facial detection. The oftware architecture employs image processing algorithms (such as Haar Cascades or LBPH for face recognition) and minutiae point matching forfingerprint verification. The door remains locked until the system simultaneously or sequentially verifies the identity of the occupant against a pre-enrolled database. This dual-modal approach significantly reduces the false acceptance rate and enhances security by ensuring that access requires unique biological traits that cannot be easily replicated or stolen. Furthermore, the system eliminates the need for physical keys, thereby providing keyless entry and mitigating the risks associated with key loss or unauthorized duplication. The proposed design offers a scalable, user-friendly solution for modern residential and commercial security applications.
Keywords: Biometric Authentication, Facial Recognition, Fingerprint Sensor, Smart Lock, Embedded Systems, IoTSecurity.