Road Surface Inspection Using Camera Angle and Image Quality Assessment
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Solution Overview
Problem
Conventional road pavement inspection methods using dedicated vehicles are costly and prone to errors due to environmental conditions and camera angle issues, necessitating a more efficient and cost-effective technique for analyzing road surface conditions.
Innovation Solution
A captured image check system comprising a camera, image data input unit, camera view angle judge processor, and road surface state analysis judge processor, which analyzes image data to determine if the camera view angle and road surface conditions are suitable for inspection, using a combination of hardware and software components to assess and output the inspection results.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a dedicated vehicle is used for road pavement inspection, then inspection accuracy is improved, but inspection cost increases
Solution Approach 1:
The patent uses commercially available video cameras or smartphones to capture road surface images instead of dedicated inspection vehicles. These consumer-grade cameras serve as copies or alternatives to professional inspection equipment, achieving acceptable inspection results at lower cost while maintaining measurement precision through image quality assessment algorithms.
2Quantity of substance
If commercially available video cameras are used for road surface inspection, then inspection cost is reduced, but inspection reliability deteriorates due to environmental conditions and camera angle issues
Solution Approach 1:
The patent performs preliminary assessment of captured images by evaluating image quality indicators such as focus, exposure, and camera angle before conducting actual road surface analysis. This preliminary action filters out unreliable images taken under poor environmental conditions or incorrect angles, ensuring that only high-quality images proceed to inspection, thereby maintaining reliability while using low-cost cameras.
Solution Approach 2:
The system provides feedback on image quality assessment results to the user, indicating whether a captured image is suitable for inspection or requires re-capture. This feedback mechanism allows users to immediately correct poor captures by adjusting camera angles or waiting for better lighting conditions, thereby improving inspection reliability without requiring expensive dedicated equipment.
3Reliability
If image quality assessment is performed to ensure reliable inspection results, then inspection reliability is improved, but inspection time increases
Solution Approach 1:
The patent replaces manual image quality assessment with automated computer-based analysis algorithms that evaluate focus, exposure, and camera angle metrics. This substitution of mechanical/manual processes with automated computational methods significantly reduces the time required for quality assessment while maintaining or improving reliability, allowing rapid filtering of suitable images for inspection.
Data Source
AI summary
According to an embodiment, a captured image check system includes a camera, an image data input unit, a camera view angle judge processor, a road surface state analysis judge processor, and an output unit. The camera photographs a road surface. The image data input unit inputs image data to be used for analyzing a state of the road surface. The camera view angle judge processor performs a judge process of determining whether or not an angle of view of the camera satisfies a first condition for analyzing the state of the road surface on the basis of the image data. The road surface state analysis judge processor performs a judge process of determining whether or not a second condition for analyzing the state of the road surface is satisfied on the basis of image data of the road surface. The output unit outputs results of the judge processes.