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
For the full publication, please contact the author directly at: taiwowaliyu56@gmail.com
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Institutions
- AVE-MARIA UNIVERSITY, PIYANKO, NASARAWA STATE 1
- Babcock University, Ilishan-Remo, Ogun State 7
- Bamidele Olumilua University of Edu. Science and Tech. Ikere Ekiti, Ekiti State 453
- Bauchi State College of Agriculture, Bauchi, Bauchi State 1
- Bauchi State University, Gadau, Bauchi State 16
- Bayelsa State Polytechnic, Aleibiri, Bayelsa State 13
- Bayero University, Kano, Kano State 583
- Benue State Polytechnic, Ugbokolo, Benue State 10
- Benue State University, Makurdi, Benue State 47
- Bingham University, Karu, Nasarawa State 3