Algorithm for the Real-Time Identification of Railway Wagon Numbers (Using RFID Technology and High-Resolution Cameras)
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Abstract
This research presents an innovative integrated system for real-time identification of rail cars using radio frequency identification (RFID) technology and high-resolution cameras. The proposed method integrates advanced computer vision and image processing techniques to automatically recognize and record train numbers at strategic checkpoints. By synchronizing RFID tag data with optical character recognition (OCR) from camera images, the system achieves over 99% identification accuracy, works effectively in various environmental conditions, and greatly increases logistics efficiency. The combined approach allows for faster data processing, reduces human error, and provides a robust solution for tracking and monitoring railway wagon movements.
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