Workpiece Detection System Using 3D Shape Segmentation
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Solution Overview
Problem
Three-dimensional shape matching processes in workpiece detection systems can be inefficient due to high computational load and errors caused by poor feature extraction or measurement inaccuracies, leading to erroneous results and wasteful processing time.
Innovation Solution
A workpiece detection system employing a three-dimensional sensor and an information processing device that uses visually recognizable shapes for each viewpoint as search targets, excludes certain search target shapes and results based on preset conditions, such as projection area ratios and symmetry, to improve detection accuracy and speed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a three-dimensional shape matching process is used to detect workpieces, then detection accuracy can be improved, but computational load increases and processing time is extended
Solution Approach 1:
The patent segments the three-dimensional shape matching process into multiple stages: first extracting planar portions from the measured three-dimensional shape, then performing matching only on these extracted planar portions rather than the entire shape. This segmentation reduces the computational load while maintaining detection accuracy by focusing processing on relevant features.
Solution Approach 2:
The patent extracts planar portions from the three-dimensional shape as key features for matching. By taking out only the essential planar features rather than processing the complete three-dimensional shape, the system reduces computational complexity and processing time while preserving the ability to accurately identify workpieces.
2Measurement precision
If a high-performance arithmetic device is used to perform three-dimensional shape matching, then detection accuracy is maintained, but system cost and complexity increase
Solution Approach 1:
The patent segments the matching process to operate on extracted planar portions rather than complete three-dimensional shapes. This segmentation allows standard processing devices to achieve the same detection accuracy that would otherwise require high-performance arithmetic devices, thereby reducing system complexity and cost.
3Measurement precision
If feature extraction is performed on three-dimensional shapes with poor features or measurement errors, then detection completeness is achieved, but erroneous matching results increase
Solution Approach 1:
The patent applies local quality by evaluating and selecting planar portions based on their suitability for matching. Rather than uniformly processing all extracted features, the system identifies and processes only those planar portions with adequate features, thereby maintaining detection completeness while improving matching accuracy by excluding poor-quality features.
Solution Approach 2:
The patent incorporates feedback mechanisms where matching results are evaluated and used to refine the selection of planar portions for subsequent matching. This feedback loop allows the system to learn from erroneous matches and improve the quality of extracted features, thereby reducing errors while maintaining detection completeness.
Data Source
AI summary
A workpiece detection system capable of detecting a workpiece accurately and rapidly comprises: a three-dimensional sensor that measures a three-dimensional shape of an object in a field of view; and an information processing device that uses a visually recognizable shape in each point of view of a three-dimensional model as a search target shape, and, when a matching partial shape that matches the search target shape is found from the three-dimensional shape measured by the three-dimensional sensor, outputs the matching partial shape as a search result. The information processing device excludes a part of the search target shape or a part of the search result on the basis of a preset condition.