Face Recognition Door Lock System with IoT &AI
DOI:
https://doi.org/10.15680/IJCTECE.2026.0902011Keywords:
Face Recognition, Artificial Intelligence, Internet of Things (IoT), Smart Door Lock System, Biometric Authentication, Computer Vision, Machine Learning, Access Control SystemAbstract
This project presents an AI-Based Smart Door Unlock System using Face Recognition and IoT Integration, which provides a secure and automated access control solution. The system captures facial images using a camera, processes them through machine learning and computer vision techniques, and compares them with a trained image database of authorized users. If a valid match is found, access is granted; otherwise, access is denied and theattempt is logged for security monitoring. The system is designed as a hybrid model that works as a complete software-based authentication platform while also supporting future integration with IoT hardware such as Arduino or Raspberry Pi for physical door unlocking. This scalable architecture ensures flexibility for both academic implementation and real-world deployment.
The proposed system enhances security, automation, and reliability while improving user convenience through contactless authentication. It eliminates the need for physical keys, cards, or passwords and reduces the risk of unauthorized access. In addition to authentication, the system supports user management, logging, and monitoring features, making it suitable for smart homes, offices, institutions, and secure facilities. By integrating AI, machine learning, and intelligent system design, the project demonstrates the practical application of advanced technologies in modern security systems. The hybrid and scalable nature of the system makes it a strong foundation for future enhancements such as multi-factor authentication, cloud integration, and large-scale smart security infrastructure deployment.
Security and access control have become critical challenges in modern digital and physical environments due to the increasing adoption of smart infrastructure and connected systems. Traditional door locking mechanisms such as mechanical keys, password-based locks, and card-based access systems suffer from limitations including key duplication, unauthorized access, loss of credentials, and lack of intelligent authentication. These conventional systems rely heavily on physical objects or memorized information, making them vulnerable to misuse and human error. With recent advancements in Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision, biometric authentication systems have emerged as a reliable and intelligent alternative. Among these, face recognition stands out as a contactless, user-friendly, and secure authentication method suitable for real-world
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