Monitoring of Rail Line Using Multi-Sensor Camera and Correlation Filters

Student: Kehinde Waliyu Taiwo (Project, 2025)
Department of Computer Engineering
Osun State Polytechnic, Iree, Osun State

Abstract

This project ABSTRACT This project presents a rail line monitoring system using multi-sensor cameras and correlation filters to enhance railway safety. The system combines RGB, thermal, and infrared imaging to detect surface and subsurface anomalies in real-time. Correlation filters enable accurate defect detection and localization, with outputs including visual reports, GPS mapping, and maintenance recommendations. Performance evaluations show high accuracy and robustness, though challenges like initial costs and environmental sensitivities exist. The scalable design supports diverse rail networks, offering a significant improvement over traditional methods while paving the way for predictive maintenance and broader infrastructure applications.

Keywords
correlation filters monitoring multi-sensor project system maintenance camera abstract presents
Filters
Institutions