Research Article
Automated Smart Attendance System using Face and Finger Recognition with SMS Indication
@INPROCEEDINGS{10.4108/eai.28-4-2025.2358096, author={Niranchana Jayesh and Shruthi Murali and R Soundarya Jannani and C. Shanmuganathan}, title={Automated Smart Attendance System using Face and Finger Recognition with SMS Indication}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part II}, publisher={EAI}, proceedings_a={ICITSM PART II}, year={2025}, month={10}, keywords={smart attendance system biometric recognition machine learning face recognition system optimization}, doi={10.4108/eai.28-4-2025.2358096} }- Niranchana Jayesh
Shruthi Murali
R Soundarya Jannani
C. Shanmuganathan
Year: 2025
Automated Smart Attendance System using Face and Finger Recognition with SMS Indication
ICITSM PART II
EAI
DOI: 10.4108/eai.28-4-2025.2358096
Abstract
This paper investigates the use of machine learning techniques for building Automation Smart Attendance System, to resolve the persists issue of attendance management. The work presents an adaptive system, Smart Attend, that can provide improved accuracy on top recognition algorithms. Furthermore, the project demonstrates a finite state machine which includes support for facial recognition, fingerprint authentication and SMS notifications, making the most of the available hardware to simplify attendance and communication. This study integrates complex recognition methods and algorithmic methodology and system implementations and addresses some of the issues that are significant in the topic of Automated Attendance System.
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