Machined Surface Brightness Calculation for Flaw Detection
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Solution Overview
Problem
Adjusting the position of a light source to increase the brightness difference between polygons on a machined surface for flaw detection is time-consuming and labor-intensive.
Innovation Solution
A display device that extracts normal vectors from shape information of a machined surface, calculates adjusted angles by multiplying these angles with a predetermined factor, and uses these adjusted angles to calculate the brightness of each surface constituent element, thereby eliminating the need to adjust the light source.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the position of the light source is adjusted to increase the brightness difference between polygons, then the ease of observing unevenness and determining quality is improved, but the time and effort required for adjustment increases
Solution Approach 1:
The patent replaces the mechanical adjustment of light source position with a computational approach. Instead of physically moving the light source to achieve optimal brightness contrast, the system calculates and processes brightness values through image processing algorithms, eliminating the need for time-consuming manual light source repositioning while maintaining quality assessment accuracy
Solution Approach 2:
The patent changes the parameter being adjusted from physical light source position to computational brightness parameters. By processing and enhancing brightness values through image processing techniques, the system achieves improved quality determination without the time loss associated with physical parameter adjustments
2Illumination intensity
If multiple parameters are adjusted to optimize light source position, then the brightness difference between polygons is improved, but the complexity of operation increases
Solution Approach 1:
The patent substitutes the complex mechanical process of adjusting multiple light source parameters with a simplified computational system. Image processing algorithms automatically calculate and enhance brightness differences, eliminating the need for operators to manually adjust multiple parameters while achieving the desired illumination effect
Solution Approach 2:
The system performs self-adjustment through automated image processing. Instead of requiring operator intervention to adjust multiple parameters, the system automatically processes the brightness values and optimizes the brightness difference between polygons, making the operation simpler and more autonomous
Data Source
AI summary
Provided are a display device and a computer program that enable the burden on a worker to be reduced. The display device comprises: a normal vector extraction unit that extracts a normal vector of a machined surface constituent element on the basis of shape information of a machined surface that is constituted by the machined surface constituent element; a brightness calculation unit that calculates the brightness of the machined surface constituent element on the basis of the normal vector; and a display unit that generates a graphical display of the machined surface on the basis of the brightness of the machined surface constituent element. The brightness calculation unit calculates the brightness of the machined surface constituent element on the basis of an adjusted angle obtained by multiplying an angle formed by the normal vector with each axis of a three-dimensional space, by a prescribed adjustment magnification.