SEAIT OJT Monitoring System using Face Recognition Technology: Improving Usability and Accessibility

This research project focuses on improving the SEAIT OJT Monitoring System by integrating face recognition technology to enhance usability and accessibility. Traditional methods of tracking On-the-Job Training (OJT) attendance are often time-consuming and prone to errors. By implementing a face recognition system, the project aims to automate attendance tracking, reduce human errors, and increase security. The study evaluates the system's performance through usability testing, measuring metrics like accuracy, efficiency, and user satisfaction. Results indicate that the system simplifies attendance monitoring, provides real-time data, and improves overall user experience. However, challenges such as environmental factors and device compatibility were noted. The project demonstrates the potential of face recognition technology to streamline administrative tasks in educational settings while emphasizing the need for further improvements in accessibility and reliability.

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Publication Details

Published
2025-05-30
DOI
https://doi.org/10.38124/ijisrt/25may648
Primary Topic
Innovation in Digital Healthcare Systems
Type
article
Field-Weighted Citation Impact
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article

SEAIT OJT Monitoring System using Face Recognition Technology: Improving Usability and Accessibility

Matthew W. Christian, C. Gabriel, Reginald S. Prudente, Acain Jay Ronel et al.
Innovation in Digital Healthcare Systems
article

SEAIT OJT Monitoring System using Face Recognition Technology: Improving Usability and Accessibility

Matthew W. Christian, C. Gabriel, Reginald S. Prudente, Acain Jay Ronel, Ablayon Anthony, Manrique Lorenz Greg, Morga Arcadio
article en

Abstract

This research project focuses on improving the SEAIT OJT Monitoring System by integrating face recognition technology to enhance usability and accessibility. Traditional methods of tracking On-the-Job Training (OJT) attendance are often time-consuming and prone to errors. By implementing a face recognition system, the project aims to automate attendance tracking, reduce human errors, and increase security. The study evaluates the system's performance through usability testing, measuring metrics like accuracy, efficiency, and user satisfaction. Results indicate that the system simplifies attendance monitoring, provides real-time data, and improves overall user experience. However, challenges such as environmental factors and device compatibility were noted. The project demonstrates the potential of face recognition technology to streamline administrative tasks in educational settings while emphasizing the need for further improvements in accessibility and reliability.

Openalex Percentile: Top 86%
Innovation in Digital Healthcare Systems
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