Location Based Attendance System Using Geofencing and Facial Recognition Technology

For a long time, hand attendance was a slow and inefficient process. Automated systems offer many advantages to organizations. Accordingly, we have proposed a dual-factor attendance tracking system that combines geographical-location-based tracking using geofencing technology with biometric facial recognition. This system is implemented on an Android mobile application that enforces a secure, sessionbased authentication flow. While researching the work that has been done in this field, we came across many studies that have implemented similar attendance marking systems using biometrics, Radio Frequency Identification (RFID), and other scanner devices. We eliminated the use of such dedicated hardware and devised a simple and easy-to-use system that uses a user's smartphone for both location verification and identity authentication. The system effectively prevents proxy attendance by requiring users to biometrically verify their identity.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-01-01
DOI
https://doi.org/10.5281/zenodo.16935374
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Location Based Attendance System Using Geofencing and Facial Recognition Technology

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

Location Based Attendance System Using Geofencing and Facial Recognition Technology

article en

Abstract

For a long time, hand attendance was a slow and inefficient process. Automated systems offer many advantages to organizations. Accordingly, we have proposed a dual-factor attendance tracking system that combines geographical-location-based tracking using geofencing technology with biometric facial recognition. This system is implemented on an Android mobile application that enforces a secure, sessionbased authentication flow. While researching the work that has been done in this field, we came across many studies that have implemented similar attendance marking systems using biometrics, Radio Frequency Identification (RFID), and other scanner devices. We eliminated the use of such dedicated hardware and devised a simple and easy-to-use system that uses a user's smartphone for both location verification and identity authentication. The system effectively prevents proxy attendance by requiring users to biometrically verify their identity.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 66%
Geochemistry and Geologic Mapping
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.