What question did this study set out to answer?

The aim is to develop a real-time attendance management system using face recognition technology to enhance accuracy and reduce administrative workload.

June 28, 2026Open Access

Face Recognition Attendance System

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Authors

MVMungi Varshini YSYadiki Nithya Sri DRDr. Subba Ramaiah

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Implication

Real-Time System Records Attendance Automatically in Educational Institutions and Workplaces, Indicating Increased Efficiency.

Key Points

The aim is to develop a real-time attendance management system using face recognition technology to enhance accuracy and reduce administrative workload.
Utilized Haar Cascade classifiers for facial detection.
Employed the LBPH face recognition algorithm for individual identification.
Automatically recorded attendance with timestamps and stored data in CSV and Excel formats.
Significantly reduced manual attendance processing time.
Improved accuracy of attendance recording with minimized proxy entries.
Functioned efficiently on standard computing devices.

Cite This Study

Varshini et al. (2026) studied this question.

synapsesocial.com/papers/6a40bb4561bb0a67205c6e37 https://doi.org/10.5281/zenodo.20921715

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Face Recognition Attendance System

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Implication

Key Points

Cite This Study

Face Recognition Attendance System

Discussion

Member takes

Implication

Key Points

Cite This Study

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