Computer Vision-Based Busway Monitoring of Unauthorized Vehicles

Proponent/s Name/s (Last Name, First Name, Middle Initial)

Don Jason R. Carpo, De La Salle University Integrated SchoolFollow
Winchester G. Ablan, De La Salle University Integrated SchoolFollow

Document Types

Paper Presentation

School Name

De La Salle University - Integrated School

Track or Strand

Science, Technology, Engineering, and Mathematics (STEM)

Research Advisor (Last Name, First Name, Middle Initial)

Cempron, Jonathan C.

Start Date

23-6-2025 1:30 PM

End Date

23-6-2025 3:00 PM

Zoom Link/ Room Assignment

Y304

Abstract/Executive Summary

This study presents an automated highway monitoring system designed to detect and quantify unauthorized vehicle violations during daylight conditions. The system identifies and classifies buses, cars, and motorcycles within CCTV footage using YOLO-based object detection. The insights generated offer significant value to local traffic enforcement agencies such as traffic management authorities, enabling data-driven decisions to enhance traffic management. By monitoring unauthorized vehicles on the highway, the system provides actionable information that supports more efficient and effective control of traffic flow. Future applications of this system include deployment on other road networks and the integration of additional violation detection features, contributing to broader traffic regulation and public safety efforts.

Keywords

Computer Vision, Traffic Monitoring

Research Theme (for Paper Presentation and Poster Presentation submissions only)

Computer and Software Technology, and Robotics (CSR)

Initial Consent for Publication

yes

Statement of Originality

yes