Human Face Recognition Based Employee Attendance System

The Face Recognition-based Employee Attendance System automates the process of tracking attendance by using facial recognition technology. Developed with Flask and utilizing the face_recognition and DeepFace libraries, this system accurately identifies employees and records their attendance in real time. It also features an admin interface that allows for easy management of employee records and the generation of attendance reports. This solution boosts efficiency, minimizes errors, and enhances workplace security by automating the attendance logging process.

Authors

Publication Details

Journal
International Journal for Research in Applied Science and Engineering Technology
Published
2025-01-09
DOI
https://doi.org/10.22214/ijraset.2025.66344
Primary Topic
Smart Systems and Machine Learning
Type
article
Field-Weighted Citation Impact
0.00
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article

Human Face Recognition Based Employee Attendance System

K M Bheemesha
International Journal for Research in Applied Science and Engineering Technology
Smart Systems and Machine Learning
article

Human Face Recognition Based Employee Attendance System

K M Bheemesha
article en

Abstract

The Face Recognition-based Employee Attendance System automates the process of tracking attendance by using facial recognition technology. Developed with Flask and utilizing the face_recognition and DeepFace libraries, this system accurately identifies employees and records their attendance in real time. It also features an admin interface that allows for easy management of employee records and the generation of attendance reports. This solution boosts efficiency, minimizes errors, and enhances workplace security by automating the attendance logging process.

International Journal for Research in Applied Science and Engineering TechnologyVol. 13(1)
Openalex Percentile: Top 100%
Smart Systems and Machine Learning
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Human Face Recognition Based Employee Attendance System — K M Bheemesha · International Journal for Research in Applied Science and Engineering Technology (2025) | TGRS Research Map | TGRS