Train Number Identification via Linear-Array Camera Distortion Correction
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Solution Overview
Problem
Manual processing of train numbers is time-consuming and error-prone, and existing automatic methods like RFID tags are costly, while digital image processing is prone to accuracy issues due to image distortion.
Innovation Solution
A method and system using a linear-array camera to continuously photograph trains, splice partial images, correct distortion by adjusting image ratios based on wheel diameters, and identify train numbers through character recognition, enabling automatic train type identification and security inspection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If digital image process is used to identify train numbers, then automation is improved, but measurement precision deteriorates due to image distortion
Solution Approach 1:
The patent applies preliminary action by correcting image distortion before the train number identification process. The system detects distortion in the captured train image and applies correction algorithms to restore the image geometry, ensuring that subsequent character recognition operates on undistorted images, thereby maintaining high accuracy in automated identification.
2Measurement precision
If manual processing of train numbers is performed, then measurement precision is maintained, but productivity deteriorates due to time consumption
Solution Approach 1:
The patent replaces the manual mechanical process of train number recording with an automated digital image processing system. The system captures train images, corrects distortion, and automatically identifies train numbers through character recognition algorithms, eliminating manual labor while maintaining identification accuracy and significantly improving processing speed.
3Productivity
If RFID tags are used for automatic train number identification, then productivity is improved, but device complexity and cost increase
Solution Approach 1:
The patent employs a cost-effective approach by using standard digital imaging equipment and software-based distortion correction instead of expensive RFID infrastructure. The system processes images through algorithmic correction and recognition, avoiding the need for specialized hardware tags and readers, thereby reducing system complexity and deployment cost while maintaining automated identification capability.
Data Source
AI summary
The present disclosure provides a method and system for identifying a train number and train type. The method includes: continuously photographing a train under inspection by using a linear-array camera in motion relative to the train under inspection, and generating a plurality of partial images of the train; splicing the plurality of partial images of the train; correcting distortion of the spliced image; identifying a train number from the corrected image; wherein the correcting distortion of the spliced image includes: extracting a contour of a wheel from the spliced image; obtaining a ratio between a horizontal diameter and a vertical diameter of the wheel from the contour; if the ratio is greater than a first preset threshold, horizontally compressing the spliced image according to the ratio; and if the ratio is smaller than a second preset threshold, horizontally stretching the spliced image.