SMART BIOMETRIC ATTENDANCE SYSTEM USING FINGERPRINT RECOGNITION
Abstract & Details
Research Area
Internet of things
Keywords
Biometric Attendance
Fingerprint Recognition
Smart System
Attendance Tracking
Authentication Technology
Security Solution
Abstract
In today's dynamic work environments, traditional methods of tracking employee attendance often fall short in accuracy, security, and efficiency. This abstract explores the implementation and impact of smart biometric attendance systems in modern workforce management. This paper presents a comprehensive overview of smart biometric attendance systems utilizing fingerprint recognition technology. It discusses the principles behind fingerprint recognition, including image acquisition, feature extraction, and matching algorithms. Furthermore, the paper explores the various components and functionalities of a typical biometric attendance system, including hardware components such as fingerprint scanners and software components such as database management systems and attendance monitoring software. The advantages of implementing biometric attendance systems are highlighted, including increased accuracy, enhanced security, and efficient time management. Additionally, the paper addresses common concerns such as privacy issues and data protection measures associated with biometric data collection and storage. Case studies and real-world implementations of biometric attendance systems in different organizational settings are examined to illustrate their effectiveness in improving attendance management processes. Furthermore, the paper discusses the integration of biometric attendance systems with other technologies such as cloud computing and mobile applications to provide remote access and real-time monitoring capabilities.
License
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Author Information
| # | Name | Institute / Affiliation |
|---|---|---|
| 1 | Prof. Manisha Vaidya | Priyadarshini JL College Of Engineering |
| 2 | Ankit Mourya | Priyadarshinni JL College Of Enginee |
| 3 | Altaf Rayliwale | Priyadarshini JL College Of Engineering |
| 4 | Saurabh Jagare | Priyadarshini JL College Of Engineering |
| 5 | Radhika Asare | Priyadarshini JL College Of Engineering |
| 6 | Bharti Patel | Priyadarshini JL College Of Engineering |
How to Cite
Use the following formats to cite this article in your research.
APA Style
Vaidya, Prof. Manisha, Mourya, Ankit, Rayliwale, Altaf , Jagare, Saurabh, Asare, Radhika, & Patel, Bharti (2024). SMART BIOMETRIC ATTENDANCE SYSTEM USING FINGERPRINT RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education, 10(3), 1781-1791.
MLA Style
Vaidya, Prof. Manisha, et al. "SMART BIOMETRIC ATTENDANCE SYSTEM USING FINGERPRINT RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, 2024, pp. 1781-1791.
IEEE Style
Prof. Manisha Vaidya, Ankit Mourya, Altaf Rayliwale, Saurabh Jagare, Radhika Asare, and Bharti Patel, "SMART BIOMETRIC ATTENDANCE SYSTEM USING FINGERPRINT RECOGNITION," International Journal of Advance Research and Innovative Ideas In Education, vol. 10, no. 3, pp. 1781-1791, 2024.
Vancouver Style
Vaidya Prof. Manisha, Mourya Ankit, Rayliwale Altaf , Jagare Saurabh, Asare Radhika, Patel Bharti. SMART BIOMETRIC ATTENDANCE SYSTEM USING FINGERPRINT RECOGNITION. International Journal of Advance Research and Innovative Ideas In Education. 2024;10(3):1781-1791.
Harvard Style
Vaidya, Prof. Manisha, Mourya, Ankit, Rayliwale, Altaf , Jagare, Saurabh, Asare, Radhika, & Patel, Bharti (2024) 'SMART BIOMETRIC ATTENDANCE SYSTEM USING FINGERPRINT RECOGNITION', International Journal of Advance Research and Innovative Ideas In Education, 10(3), pp. 1781-1791.
Chicago Style
Vaidya, Prof. Manisha, et al. "SMART BIOMETRIC ATTENDANCE SYSTEM USING FINGERPRINT RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 1781-1791.
Turabian Style
Vaidya, Prof. Manisha, et al. "SMART BIOMETRIC ATTENDANCE SYSTEM USING FINGERPRINT RECOGNITION." International Journal of Advance Research and Innovative Ideas In Education 10, no. 3 (2024): 1781-1791.
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