Shape Measurement Device Extraction Region Setting
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Solution Overview
Problem
The existing light-section method for non-contact three-dimensional shape measurement is labor-intensive and time-consuming, especially when dealing with complex shapes, as it requires manual exclusion of abnormal points and setting of extraction regions for generating point cloud data.
Innovation Solution
A shape measuring apparatus that projects a measurement beam onto a target, captures images, and uses a movement mechanism to adjust the beam's position, allowing for the collective setting of extraction regions based on composite images, reducing the time and labor required for setting these regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual verification and setting of extraction regions is performed for each capture image, then abnormal points can be properly excluded, but the time and labor required increases significantly
Solution Approach 1:
The patent applies preliminary action by performing extraction region setting based on composite images before actual measurement. The system creates composite images from multiple capture images, determines extraction regions from these composites, and then applies the same extraction region settings to all individual capture images. This preliminary setup eliminates the need for manual verification of each individual image, significantly reducing time and labor while maintaining measurement accuracy through consistent region extraction.
2Reliability
If extraction regions are set individually for each capture image, then abnormal points can be excluded, but the complexity of the operation increases
Solution Approach 1:
The patent merges multiple capture images into composite images, which consolidate the information from all individual images. By performing extraction region setting on these merged composite images rather than individually on each capture image, the system simplifies the operational process. The extraction regions determined from composite images are then consistently applied to all individual images, reducing operational complexity while ensuring reliable point cloud data quality through uniform region extraction.
3Measurement precision
If multiple capture images are processed individually, then complete shape information can be obtained, but the productivity decreases
Solution Approach 1:
The system performs preliminary processing by creating composite images from all capture images and determining extraction regions in advance. This preliminary action allows the system to process multiple capture images simultaneously using the pre-determined extraction regions, rather than processing them sequentially with individual verification. As a result, complete shape information is obtained from all images while significantly improving the productivity of point cloud data generation through parallel processing enabled by the preliminary extraction region setup.
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
This approach significantly decreases the time and labor needed to set extraction regions for point cloud data generation, improving efficiency in calculating three-dimensional shapes by collectively setting regions across multiple images.
Implementation Method 1
a projecting unit for projecting a measurement beam onto a measurement region of a measurement target
Implementation Method 2
an imaging unit for capturing an image of the measurement region when the measurement beam is projected
Data Source
AI summary
The time and labor required to set an extraction region of point cloud data is decreased. A shape measuring apparatus includes a projecting unit that projects a measurement beam onto a measurement region of a measurement target, an imaging unit that captures an image of the measurement target onto which the measurement beam is projected, a movement mechanism that relatively moves the projecting unit or the imaging unit with respect to the measurement target so that a position of the measurement region of the measurement target changes, and an extraction region setting unit that sets an extraction region for image information used for calculating a position of the measurement target from capture images captured by the imaging unit, on the basis of positions of images of the measurement beam captured by the imaging unit when the measurement beam is projected onto different measurement regions.