Workpiece Model Matching for Non-Expert Parameter Adjustment
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Solution Overview
Problem
Existing methods require expert knowledge to adjust parameters for collating workpiece features in image data with workpiece models, limiting accessibility for accurate position detection.
Innovation Solution
A device and method that include a position detecting section, a matching position acquiring section, and a parameter adjustment section, allowing non-expert operators to adjust parameters by comparing detection positions with matching positions in image data, using data on differences between the two positions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If expert knowledge is required to adjust parameters for collating workpiece features with workpiece models, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent introduces an intermediary system that automatically calculates optimal parameter values by comparing detection positions with matching positions. This intermediary processing layer translates complex parameter adjustment into a simple automated calculation, allowing non-experts to achieve accurate results without needing to understand the underlying collation algorithms or perform manual parameter tuning.
Solution Approach 2:
The system performs self-adjustment by automatically computing parameter values based on the difference between detection positions and matching positions. The parameter adjustment section autonomously optimizes collation parameters without requiring expert intervention, enabling the system to self-correct and maintain high measurement precision while being easily operable by anyone.
2Manufacturing precision
If manual parameter adjustment by experts is used, then manufacturing precision is improved, but productivity deteriorates
Solution Approach 1:
The patent replaces the manual mechanical process of expert parameter adjustment with an automated computational system. The parameter adjustment section uses algorithmic processing to calculate optimal parameters based on position differences, substituting human expert manual tuning with automated digital computation that is both highly precise and rapidly executable.
Solution Approach 2:
The system dynamically changes parameters based on calculated differences between detection and matching positions. By automatically adjusting parameter values according to measured deviations, the system maintains high manufacturing precision while eliminating the time-consuming manual parameter tuning process, thereby improving productivity.
Data Source
AI summary
Conventionally, an operator with expertise was needed to adjust a parameter for collating a workpiece feature of a workpiece imaged by a visual sensor and a workpiece model of the workpiece. A device comprises: an image generation unit that generates image data displaying a workpiece feature of a workpiece imaged by a visual sensor; a position detection unit that uses a parameter for collating a workpiece model with a workpiece feature to obtain, as a detected position, a position of the workpiece in the image data; a matching position acquisition unit that acquires, as a matching position, a position of the workpiece model in the image data when the workpiece model is arranged so as to match the workpiece feature in the image data; and a parameter adjustment unit that adjusts the parameter on the basis of data indicating the difference between the detected position and the matching position.