Year: 2025
Type: article
Abstract: This project develops a face recognition-based door unlocking system with a backup keypad for added security. It uses a Raspberry Pi 3B+ to process real-time facial recognition for primary authentication. If face recognition fails, users can enter a pre-set password on the keypad as a secondary authentication method. A stepper motor controls the locking mechanism for door access. The system enhances security by combining biometric authentication with a dual-layer approach. It provides a secure, contactless, and user-friendly access solution. The project addresses the vulnerabilities of traditional locking mechanisms like key duplication and combination lock guessing. It aims to improve both security and usability in environments where access control is critical. The system is designed to be reliable and practical for everyday use. This approach offers a modern solution to traditional door security challenges. Keywords: Raspberry Pi, Biometric authentication, Face recognition
DOI: 10.55041/ijsrem43520
Authors: Maheswaran T, Dinesh M, Guhan S, Kamalakar L, Mohammed Abdulla M
Language: English
Subfield: Signal Processing
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409165730