International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | An Intelligent Access Control System Using Multi-Factor Verification |
|---|---|
| ABSTRACT | This project presents an Intelligent Access Control System Using Multi-Factor Verification, developed to enhance security and reliability in access management. The system combines RFID card authentication and fingerprint recognition to ensure that only authorized users can gain entry. It is built on an ESP8266 microcontroller platform and integrates essential components such as an RFID reader, fingerprint sensor, servo motor, LCD display, and buzzer for feedback and control. When a user presents their RFID card, the system verifies it against a pre- registered database; upon successful validation, the fingerprint is scanned for secondary verification. If both credentials match, the servo motor unlocks the door, granting access. In case of a mismatch, the system denies entry and triggers the buzzer for alert. This dual-layer authentication minimizes unauthorized access, card misuse, and spoofing attempts. The design emphasizes security, accuracy, and user convenience, making it suitable for applications in offices, laboratories, smart homes, and other restricted facilities. |
| AUTHOR | TEJASH WATEKAR, HIMANSHU N. PATLE, BHARGAV R. THOMBARE, RUSHALI G.KANOJE, LINA R. PATLE Asst. Professor, Artificial Intelligence & Data Science, Wainganga College of Engineering and Management, Nagpur, Maharashtra, India UG Student, B. Tech Student, Artificial Intelligence & Data Science, Wainganga College of Engineering and Management, Nagpur, Maharashtra, India |
| VOLUME | 180 |
| DOI | DOI: 10.15680/IJIRCCE.2026.1401091 |
| pdf/91_An Intelligent Access Control System Using Multi-Factor Verification.pdf | |
| KEYWORDS | |
| References | 1. R. H. Tidar, A. Madramsyah, H. A. D. Rimbawa, and T. P. Sembali, “Design and development of an IoT-based archive room security system integrating RFID and fingerprint authentication for military document protection,” J. Mandiri IT, vol. 14, no. 1, pp. 198–207, 2025, doi:10.35335/mandiri.v14i1.440. Available: https://ejournal.isha.or.id/index.php/Mandiri/article/view/440 2. “IoT-based Smart Door Lock Using RFID Sensor and Fingerprint Based on the Internet of Things,” in Proc. Malikussaleh Int. Conf. Multidisciplinary Studies (MICoMS), 2025, doi:10.29103/micoms.v4i.908. Available: https://doi.org/10.29103/micoms.v4i.908 3. M. Nirmala, P. Guna, and S. Sasi Kumar, “IoT Based Smart Fingerprint Door Unlock System,” Int. J. Innov. Res. Sci. Eng. Technol. (IJIRSET), vol. 13, no. 6, 2024, doi:10.15680/IJIRSET.2024.1306072. Available: https://www.ijirset.com/upload/2024/june/72_IoT.pdf 4. M. A. Cader, A. Jahan, J. Banks, and V. Chandran, “Fingerprint Systems: Sensors, Image Acquisition, Interoperability and Challenges,” Sensors, vol. 23, no. 14, art. 6591, 2023, doi:10.3390/s23146591. Available: https://doi.org/10.3390/s23146591 5. “Authentication schemes for Internet of Things (IoT) networks: A systematic review and security assessment,” Internet of Things, vol. 30, Mar. 2025, art. 101469, doi:10.1016/j.iot.2024.101469. Available: https://doi.org/10.1016/j.iot.2024.101469 6. “Deep Learning System for User Identification Using Sensors on Doorknobs,” Sensors, vol. 24, no. 15, art. 5072, 2024, doi:10.3390/s24155072. Available: https://doi.org/10.3390/s24155072 |
