International Journal of Scientific Research and Engineering Development

Manual monitoring of school uniform compliance is a labor-intensive process prone to human error, inconsistencies, and security gaps, often allowing unauthorized individuals to enter premises undetected. This study presents the development and evaluation of an automated school uniform detection system designed to enhance institutional discipline and security. Employing a Developmental Research design with the Agile Development Model as the Software Development Life Cycle (SDLC) model, the system integrates advanced computer vision via the YOLOv5 (You Only Look Once) algorithm and Python-based real-time processing to identify attire compliance as individuals enter the campus. The hardware architecture leverages an ESP32-CAM to capture visual data, which is then analyzed for color accuracy and completeness of the uniform. System performance was evaluated by IT experts and engineers using ISO/IEC 25010 standards and the USE (Usefulness, Satisfaction, and Ease of Use) questionnaire. Results demonstrated high efficacy, with a mean score of 4.92 for displaying information and 4.94 for generating real-time records. The study concludes that automating uniform detection significantly streamlines administrative workflows, reduces staff burnout, and fosters a secure, disciplined academic environment. .

Mary Joy R. Kquilala, Cristine Mea C. Caraos, Rodulfo Y. Kaquilala Jr, Jimar D. Villacarlos, Nova Mae B. Resuena, Rj B. Ilosorio, Dino L. Ilustrisimo, Kurt S. Bryan Alegre,"Leveraging Computer Vision for Institutional Governance: An Automated Real-Time School Uniform Detection System for Enhanced Discipline and Campus Security" International Journal of Scientific Research and Engineering Development, V9(2): Page(1403-1406) Mar-Apr 2026. ISSN: 2581-7175. www.ijsred.com. Published by Scientific and Academic Research Publishing.