Ridge Shape Evaluation Using Template Cross-Section Matching
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Solution Overview
Problem
Existing agricultural traveling vehicles lack the capability to evaluate the shape of formed objects, such as ridges, on agricultural fields, despite being able to identify their direction.
Innovation Solution
An evaluation system and method that utilizes an arithmetic processor to compare a template image with a cross-sectional image of a geographical feature, determining shape abnormalities by analyzing contour differences and generating contour difference images, which are stored and analyzed to assess the quality of formed objects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If only direction identification is implemented, then device complexity is reduced, but shape evaluation capability is lost
Solution Approach 1:
The patent creates a template image representing the ideal shape of the formed object and compares it with the actual cross-sectional image. This copying approach allows shape evaluation without requiring complex 3D scanning or measurement systems, thus improving manufacturing precision while keeping device complexity manageable.
Solution Approach 2:
The patent replaces complex mechanical measurement systems with image processing techniques. By capturing the cross-section as an image and comparing it with a template through computational analysis, the system achieves precise shape evaluation without requiring complex physical measurement equipment.
2Manufacturing precision
If template image comparison is performed, then shape evaluation precision is improved, but computational time increases
Solution Approach 1:
The patent divides the shape evaluation into discrete steps: capturing the cross-sectional image, extracting the contour, comparing it with the template contour, and calculating the difference. This segmentation allows for efficient processing by handling each step independently and optimizing it separately.
Solution Approach 2:
The patent extracts only the essential information needed for shape evaluation - the contour of the cross-section and the contour of the template. By focusing on these key features rather than processing the entire image data, the system achieves high precision evaluation with reduced computational time.
3Measurement precision
If contour difference analysis is performed, then quality assessment accuracy is improved, but device complexity increases
Solution Approach 1:
The patent uses a template image that copies the ideal shape characteristics. By comparing the actual cross-section contour with this template contour, the system achieves accurate quality assessment without requiring complex analysis algorithms or equipment.
Solution Approach 2:
The patent visualizes the difference between actual and ideal shapes through contour difference images, where different regions can be highlighted or colored to indicate deviations. This visualization approach improves quality assessment accuracy while keeping the underlying processing relatively simple.
Data Source
AI summary
An evaluation system includes an arithmetic processor configured or programmed to evaluate a shape of a formed object formed by a working device on an agricultural field, based on matching between a template image and a cross-sectional image of a geographical feature including the formed object.