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
- Mohammed Lawan College of Agriculture, Maiduguri, Borno State 12
- Moshood Abiola Polytechnic, Abeokuta, Ogun State 7
- Nasarawa State University, Keffi, Nasarawa State 8
- Niger Delta University, Wilberforce Island, Bayelsa State 28
- Niger State College of Education, Minna, (Affl To Usmanu Danfodiyo Uni, Sokoto) 1
- Nigeria Maritime University, Okerenkoko, Delta State 1
- Nigerian Army University, Biu, Borno State 3
- Nile University of Nigeria, Abuja 3
- Nnamdi Azikiwe University, Awka, Anambra State 98
- Northwest University, Kano, Kano State 179