Fingerprint doorlock system using Arduino uno
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.spl-2.07Keywords:
Fingerprint, Biometrics, Buzzer, Arduino Uno, Smart homes, SecurityDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Security continues to be a primary concern in homes, offices, and commercial establishments. Traditional locking mechanisms, such as mechanical key-based locks or password/pattern-protected systems, present notable vulnerabilities. Keys can be lost or duplicated, and passwords or patterns may be easily observed or compromised. These limitations highlight the need for more secure and intelligent access control solutions. This project proposes the design and implementation of a fingerprint-based biometric door lock system integrated with a buzzer alert feature. The system eliminates the need for carrying physical keys and enhances user convenience while significantly improving security. In the event of an unauthorized access attempt, the system triggers a buzzer to alert the owner, thereby adding a real-time security layer. Fingerprint locks have gained widespread acceptance due to their simplicity and improved safety over traditional locks. However, the growing sophistication of biometric tricking techniques necessitates the development of more robust systems. This study explores the incorporation of multiple biometric sensory system and advanced encryption algorithms to enhance the accuracy and resilience of fingerprint authentication. The proposed system not only strengthens access control but also addresses common issues associated with conventional locks. By combining biometric recognition with real-time alerts and secure data processing, the project aims to provide a comprehensive and reliable security solution. This approach offers a promising alternative for modern-day security needs, with potential applications in smart homes, secure workplaces, and high-risk environments.Abstract
How to Cite
Downloads
Similar Articles
- Virendra Chavda, Bhavesh J. Parmar, Urvi Zalavadia, Assessment of Omni channel retailing characteristics and its effect on consumer buying intention , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- A. Sandanasamy, P. Joseph Charles, Distributed SDN control for IoT networks: A federated meta reinforcement learning solution for load balancing , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Ahmed Mustefa, Ethiopian Voluntary Resettlement Programme-Lesson to Learn , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Suprabha Amit Kshatriya, Jaymin K Bhalani, Early detection of fire and smoke using motion estimation algorithms utilizing machine learning , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- Rashmika Vaghela, Dileep Labana, Kirit Modi, Efficient I3D-VGG19-based architecture for human activity recognition , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Madhuri Prashant Pant, Jayshri Appaso Patil, Unlocking the potential of big data and analytics significance, applications in diverse domains and implementation of Apache Hadoop map/reduce for citation histogram , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- Animesh Priyadarshi, Dr. Bidyanand Choudhary, Economic Impact of Mahua (Madhuca longifolia, Ericales, Sapotaceae) and Tendu Leaves (Diospyros melanoxylon, Ericales, Ebenaceae) Collection on Rural Livelihood: A Comprehensive Case Study of Jharkhand , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- V Anitha, Seema Sharma, R. Jayavadivel, Akundi Sai Hanuman, B Gayathri, R. Rajagopal, A network for collaborative detection of intrusions in smart cities using blockchain technology , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- A. Rukmani, C. Jayanthi, Fuzzy optimization trust aware clustering approach for the detection of malicious node in the wireless sensor networks , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- V. Mahalakshmi, M. Manimekalai, Location Specific Paddy Yield Prediction using Monte Carlo Simulation incorporated Long Short-Term Memory , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
You may also start an advanced similarity search for this article.

