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
- Santhanalakshmi M, Ms Lakshana K, Ms Shahitya G M, Enhanced AES-256 cipher round algorithm for IoT applications , The Scientific Temper: Vol. 14 No. 01 (2023): The Scientific Temper
- Sweta Jain, Jacob Joseph Kalapurackal, Green Innovation, Pressure, Green Training, and Green Manufacturing: Empirical evidence from the Indian apparel export industry , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Deepa Ramachandran VR VR, Kamalraj N, Hybrid deep segmentation architecture using dual attention U-Net and Mask-RCNN for accurate detection of pests, diseases, and weeds in crops , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
- Shantanu Kanade, Anuradha Kanade, Secure degree attestation and traceability verification based on zero trust using QP-DSA and RD-ECC , The Scientific Temper: Vol. 15 No. spl-2 (2024): The Scientific Temper
- N. Saranya, M. Kalpana Devi, A. Mythili, Summia P. H, Data science and machine learning methods for detecting credit card fraud , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Nand Kishore, Abhaya Kumar Singh, THE ROLE OF REMOTE SENSING TECHNOLOGY IN COUNTERNAXALITE OPERATIONS: PROBLEMS AND PROSPECTS , The Scientific Temper: Vol. 1 No. 01 (2010): The Scientific Temper
- A. Anand, A. Nisha Jebaseeli, AI-driven real-time performance optimization and comparison of virtual machines and containers in cloud environments , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Nilesh M. Patil, P M. Krishna, G. Deena, C Harini, R.K. Gnanamurthy, Romala V. Srinivas, Exploring real-time patient monitoring and data analytics with IoT-based smart healthcare monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Damtew Girma, Addisalem Mebratu, Fresew Belete, Response of potato (Solanum tuberosum L.) varieties to blended NPSB fertilizer rates on tuber yield and quality parameters in Gummer district, Southern Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- R.R. Jenifer, V.S.J. Prakash, Detecting denial of sleep attacks by analysis of wireless sensor networks and the Internet of Things , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
<< < 1 2 3 4 5 6 7 8 9 10 > >>
You may also start an advanced similarity search for this article.

