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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM47107
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Traditional stamping systems require manual intervention, leading to inefficiencies, security concerns, and data loss. This paper presents an IoT-enabled Automated Physical Stamping System that integrates fingerprint authentication with a smart stamping mechanism. The system uses IoT sensors for automated activation and MERN stack for real-time data storage and monitoring. Upon fingerprint verification, the stamp extends automatically, and the timestamp and location are stored on a secure web platform. This system enhances security, automation, and traceability in document verification processes. Authentication and verification play a crucial role in various industries, including government offices, banking, and corporate environments. Traditional physical stamping systems often suffer from inefficiencies such as unauthorized usage, human errors, and lack of real-time tracking. This paper presents an IoT-powered automated physical stamping system that integrates biometric authentication with a smart stamping mechanism, ensuring a secure and automated verification process. The proposed system uses a fingerprint sensor for user authentication, an ESP32 microcontroller for processing, a servo motor for stamp deployment, and a GPS module for real-time location tracking. Once a user applies their fingerprint, the system verifies the identity and triggers the stamp to extend automatically. Simultaneously, the system logs the timestamp and location of each stamping event on a MERN (MongoDB, Express.js, React.js, Node.js) stack-based web platform, enabling secure data storage and monitoring. Performance evaluation shows that the system achieves 99.5% accuracy in fingerprint recognition and operates with a latency of under 2 seconds, making it a fast and secure alternative to conventional stamping methods. Additionally, encryption techniques are implemented to prevent tampering and unauthorized access to stored data. The results indicate that this IoT-integrated stamping system improves security, efficiency, and traceability compared to traditional stamping methods. Future enhancements may include AI- powered fraud detection, blockchain-based data storage, and mobile app integration to further improve accessibility and reliability.
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Publication Date
5/7/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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