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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM47107

BioStamp :-An IoT-Enabled Automated Physical Stamping System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM47107

Volume:

9 |

5 |

May 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/ijsrem47107

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.

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Authors

AM

Aniruddh Mishra

AKT

Ayush Kumar Tripathi

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Abstract

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.

KEYWORDS

IoT (Internet of Things) MERN Stack (MongoDB Express.js React Node.js) Document Authentication Cloud-Based Data Management Real-Time Monitoring

Cite This Article

Aniruddh Mishra, Ayush Kumar Tripathi, "BioStamp :-An IoT-Enabled Automated Physical Stamping System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 5, May 2025. https://doi.org/10.55041/ijsrem47107

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Publication Date

5/7/2025

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Double-Blind Peer Review

Review Rounds: 2

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