Article Per Year (5 Year)
p-Index From 2021 - 2026
0.23
P-Index
This Author published in this journals
All Journal International Journal of Multidisciplinary: Applied Business and Education Research
Juliano, Joseph J.
Unknown Affiliation
Civil Engineering, Building, Construction & Architecture Computer Science & IT Economics, Econometrics & Finance Environmental Science Medicine & Pharmacology

Published : 1 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 1 Documents
Search

 1 
Automated Vehicle Access Control System Utilizing Computer Vision-Based License Plate Recognition Juliano, Joseph J.; Armada, Marc Kiane A.; Cosadio Jr., Angelito N.; Portugues, Frnacis F.; Reyes, Rickron E.
International Journal of Multidisciplinary: Applied Business and Education Research Vol. 6 No. 4 (2025): International Journal of Multidisciplinary: Applied Business and Education Rese
Publisher : Future Science / FSH-PH Publications

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11594/ijmaber.06.04.27

Abstract

The evaluation of the Automated Vehicle Access Control System utilizing Computer Vision-Based License Plate Recognition demonstrated excellent performance based on ISO/IEC 25010:2011 quality metrics, achieving a Grand Mean of 3.31, categorized as "Excellent." Individual metrics such as Maintainability (3.38), Portability (3.40), and Reliability (3.35) ranked highest, reflecting the system's robust quality. The system’s functionality and performance were also rated "Highly Accepted" by respondents, with a Grand Mean of 3.47. Readiness evaluations indicated the infrastructure and personnel were "Very Ready" to support implementation, with a Grand Mean of 3.47. These findings align with related studies emphasizing the efficiency of image-based entry management systems employing vehicle and facial recognition technologies, which enhance security, automate access control, and reduce manual workload. Leveraging advanced techniques like CNN and OpenCV, these systems prove effective in organizational settings, providing real-time monitoring, attendance tracking, and vehicle management capabilities. The high accuracy and readiness demonstrated by the system affirm its reliability and effectiveness for deployment.
Co-Authors Armada, Marc Kiane A. Cosadio Jr., Angelito N. Portugues, Frnacis F. Reyes, Rickron E.