Shape Measuring Device Automatic Partial Region Adjustment
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Solution Overview
Problem
Current shape measuring devices require manual intervention to determine if remeasurement is necessary and to adjust measurement settings for different materials within a measurement object, which is time-consuming and inefficient.
Innovation Solution
A shape measuring device with a control section that automatically adjusts measurement settings for partial regions based on stereoscopic shape data and light reception data, allowing for automated coupling of shape data across regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual measurement setting adjustment is performed for each partial region, then measurement accuracy for different materials can be improved, but measurement time and operational complexity increase
Solution Approach 1:
The measurement setting adjustment section automatically adjusts measurement settings for each partial region based on material type identification from stereoscopic shape data, eliminating the need for manual intervention. The system serves itself by autonomously determining optimal settings without user input, thereby reducing measurement time while maintaining accuracy.
Solution Approach 2:
The system automatically changes measurement parameters (such as light projection patterns, exposure times, or focus settings) based on the identified material type in each partial region. This dynamic parameter adjustment optimizes measurement accuracy for different materials without requiring manual time-consuming configuration.
2Measurement precision
If manual measurement setting adjustment is performed for each partial region, then measurement accuracy for different materials can be improved, but operational complexity increases
Solution Approach 1:
The measurement setting adjustment section autonomously adjusts settings based on material identification, making the system self-sufficient. Users simply need to initiate the measurement process, and the system automatically handles all setting adjustments, significantly reducing operational complexity.
Solution Approach 2:
The system uses feedback from stereoscopic shape data and material type identification to automatically adjust measurement settings. This closed-loop approach allows the system to self-optimize measurements based on actual material properties detected during scanning.
3Productivity
If automated measurement setting adjustment is implemented, then measurement efficiency and ease of operation are improved, but device complexity increases
Solution Approach 1:
The measurement setting adjustment section serves multiple functions: it identifies material types, determines optimal measurement settings, and executes the adjustments automatically. This multi-functional component consolidates what would otherwise require separate manual operations, improving efficiency without proportionally increasing overall device complexity.
Solution Approach 2:
The system replaces manual mechanical adjustment operations with automated computational processes. The measurement setting adjustment section uses image processing algorithms and control logic to automatically determine and apply optimal settings, substituting human operator actions with automated electronic control.
4Measurement precision
If remeasurement is performed manually after confirming results, then measurement accuracy can be improved, but time loss increases
Solution Approach 1:
The measurement setting adjustment section performs preliminary automatic adjustment of settings based on material identification before final measurement completion. This preliminary action ensures optimal settings are applied in advance, eliminating the need for time-consuming manual remeasurement to achieve accurate results.
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 convenient and efficient shape measurement by automating the adjustment of measurement settings for each region, reducing the need for manual intervention and improving measurement accuracy.
Implementation Method 1
a light receiving section configured to receive the pattern light irradiated from the light projecting section and reflected from the measurement object
Data Source
AI summary
A shape measuring device includes a stereoscopic-shape-data generating section 212 configured to generate stereoscopic shape data indicating a shape of the measurement object with a pattern projection method, a measurement-setting automatically adjusting section 217 configured to automatically adjust measurement setting for the partial regions on the basis of at least one of stereoscopic shape data of the partial regions and light reception data acquired in the partial regions when the stereoscopic shape data is generated, and a stereoscopic-shape-data coupling section 219 configured to couple, according to the measurement setting for the partial regions adjusted by a measurement setting adjusting section, the stereoscopic shape data of the partial regions generated again by the stereoscopic-shape-data generating section 212 and generate coupled stereoscopic shape data corresponding to the coupled region.