AI Based Smart Locker Security System Using Multi Authentication System

We present a secure and efficient smart locker system using a multi-level authentication mechanism. By integrating password verification, face recognition, and OTP-based authentication, the system ensures a high level of security and minimizes unauthorized access. The use of IoT technology enables real-time communication and monitoring, making the system more reliable and user-friendly. Furthermore, the proposed system enhances safety by providing alert notifications during invalid access attempts. Overall, the implementation demonstrates improved security, accuracy, and flexibility compared to traditional locker systems, making it suitable for modern smart security applications. In future, the system can be enhanced by integrating advanced technologies such as AI-based behavior analysis and fingerprint authentication for an additional layer of security. Cloud storage can be implemented to maintain access logs and enable remote monitoring from anywhere in the world.   Moreover, mobile application integration can be developed to control and monitor the locker system more efficiently. The system can also be expanded to support voice recognition and real-time video surveillance, further improving the overall security and usability of the smart locker.

[1] S. Sharma, A. Gupta, and R. Singh, “Smart Locker Security System Using IoT and Biometric Authentication,” in Proceedings of the International Conference on Smart Computing, 2021, pp. 45–49.   [2] M. K. Jain and P. Verma, “Multi-Factor Authentication Based Secure Locker System Using Embedded Systems,” IEEE Access, vol. 8, pp. 102345– 102352, 2020.   [3] R. Kumar, S. Patel, and N. Shah, “Face Recognition Based Smart Security System Using Artificial Intelligence,” in IEEE International Conference on Artificial Intelligence and Signal Processing (AISP), 2022, pp. 1–5.   [4] D. Lee and H. Kim,“IoT-Based Smart Home Security System with Real-Time Alerts,” IEEE Internet of Things Journal, vol. 7, no. 6, pp. 5123–5130, 2020.   [5] P. Raj and K. Anand, “Design and Implementation of Smart Locker Using Fingerprint and OTP,” in IEEE Conference on Communication and Electronics Systems (ICCES), 2019, pp. 678–682.   [6] A. N. Khan, M. Ali, and S. Ahmed, “Secure Multi- Authentication System Using IoT for Smart Applications,” IEEE Sensors Journal, vol. 21, no. 4, pp. 4567–4575, 2021.   [7] A. A. Alzhrani et al., “Design and Implementation of an IoT-Integrated Smart Locker System utilizing Facial Recognition Technology,” Engineering, Technology and  Applied Science Research, 2024.   [8] C. Bharatiraja et al., “An  IoT based centralized smart locker using RFID technology,” AIP Conference Proceedings, 2023.   [9] Y. Wu et al.,“ A Design of Smart Locker System Based on IoT for Campus,” IEEE CYBER Conference, 2023. [10] P. M. Sánchez et al., “Auth CODE: A Privacy- preserving and Multi-device Continuous Authentication using Machine Learning,” 2020.