Crack Detection Device Using Point Cloud and Luminance Analysis
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Solution Overview
Problem
Existing detection systems for cracks in concrete, such as those used in tunnels, struggle to effectively detect cracks in low-light environments without the need for large-scale lighting equipment.
Innovation Solution
A detection device that acquires point cloud data and luminance information using a measurement device, performs edge detection based on luminance information, and determines whether an area indicates a crack by analyzing the distribution of points with luminance within a predetermined range of difference from detected edges.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image processing is performed on images captured by a camera, then crack detection can be achieved, but sufficient brightness lighting is required which increases device complexity and cost
Solution Approach 1:
The patent replaces the mechanical/optical imaging system (camera requiring brightness lighting) with a laser-based measurement system. The laser beam serves as an active light source that illuminates the target area, and the laser sensor detects reflected light intensity and position information, eliminating the need for large-scale ambient lighting equipment while enabling crack detection through point cloud data analysis.
Solution Approach 2:
The patent introduces laser beam reflection as an intermediary mechanism. The laser beam interacts with the concrete surface, and the reflected light carries information about surface defects. By analyzing the reflected light intensity and point cloud position data, the system indirectly detects cracks without requiring direct visual imaging, thus bypassing the brightness lighting requirement.
2Illumination intensity
If large-scale lighting equipment is used to illuminate tunnels, then image quality improves, but the system becomes more complex and costly
Solution Approach 1:
The patent replaces passive ambient lighting systems with an active laser illumination system. Instead of using large-scale lighting equipment to illuminate the entire tunnel environment, a focused laser beam provides localized illumination exactly where measurement is needed. The laser sensor then detects the reflected light, enabling crack detection without requiring general environmental brightness.
3Reliability
If camera-based image processing is used for crack detection, then effective detection is possible, but the environment must maintain certain brightness levels
Solution Approach 1:
The patent substitutes the camera-based passive imaging system with an active laser measurement system. The laser provides its own illumination source, making the system independent of environmental brightness conditions. The laser sensor measures reflected light intensity and point cloud position data, enabling reliable crack detection in dark environments such as tunnels without requiring maintained brightness levels.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables the detection of cracks even in environments with insufficient brightness, eliminating the need for large-scale lighting and improving the efficiency of crack detection in challenging lighting conditions.
Implementation Method 1
luminance information obtained from reflected light of a beam emitted when the point cloud data is measured
Data Source
AI summary
A detection device (10) according to the present disclosure includes an acquisition unit (11) that acquires point cloud data indicating a distance from a measurement device to an object and luminance information obtained from reflected light of a beam emitted when the point cloud data is measured, an edge detection unit (12) that performs edge detection based on the luminance information, and a crack determination unit (13) that determines whether an area indicates a crack by using a shape of the area in which, of a plurality of points indicated by the point cloud data, points having luminance within a predetermined range of difference from luminance of a point detected as an edge are distributed.