Road Paint Degradation Assessment by Perimeter-to-Area Geometry
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Solution Overview
Problem
Conventional techniques struggle to accurately identify the degradation level of road paint with a simple configuration, as they rely on statistical analysis of reflection intensity data which is insufficient for precise determination.
Innovation Solution
A degradation level acquisition system that utilizes a recognition unit to determine paint degradation based on the perimeter-to-area ratio, where the perimeter increases and area decreases as the paint degrades, allowing for a simple configuration to identify advanced degradation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If statistical analysis of reflection intensity data is used to determine paint degradation, then degradation detection is possible, but the configuration becomes complex and degradation level identification is insufficient
Solution Approach 1:
The patent extracts only the essential geometric features (perimeter and area) from the paint region image, discarding unnecessary reflection intensity data processing. This extraction approach simplifies the system configuration while maintaining degradation detection capability, as the perimeter-to-area ratio alone provides sufficient information for determining degradation levels.
Solution Approach 2:
The patent changes the measurement parameter from reflection intensity (conventional method) to geometric parameters (perimeter and area). This parameter transformation enables more accurate degradation level identification through the perimeter-to-area ratio, while simultaneously simplifying the system configuration by eliminating complex statistical analysis requirements.
2Device complexity
If simple configuration methods are used for paint degradation detection, then system complexity is reduced, but degradation level identification accuracy is insufficient
Solution Approach 1:
The patent performs preliminary segmentation of the paint region from the road surface image before measurement. This preliminary action creates a clean, isolated paint region that enables accurate perimeter and area calculations, ensuring both simple configuration and high degradation level identification accuracy without requiring complex post-processing.
Solution Approach 2:
The patent transforms the degradation detection approach by using geometric parameters (perimeter-to-area ratio) instead of optical parameters (reflection intensity). This parameter change maintains configuration simplicity while significantly improving degradation level identification accuracy, as the geometric ratio directly reflects paint condition changes.
Data Source
Figure 1
Figure 2A~2B
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AI summary
A degradation level acquisition system (10) includes: a recognition unit (21a) that recognizes a paint formed on a road; and a degradation determination unit (21b) that determines that the paint is more degraded as a perimeter-to-area ratio of the paint increases.