Collation Device for Elliptic Cylindrical Objects
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Solution Overview
Problem
Imaging and collating objects with elliptic cylindrical shapes without reference signs or marks pose challenges in uniquely identifying them, as existing methods require imaging the entire circumference of the side surface, leading to increased calculation costs and reduced accuracy.
Innovation Solution
A collation device that captures registration images at multiple positions around the circumference and uses a single collation image, allowing for unique identification by comparing the degree of similarity with the registration images, and re-collating if necessary, without requiring full circumference imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If imaging is performed for one circumference of the side surface to capture registration images at multiple positions, then unique identification of elliptic cylindrical objects is enabled, but calculation costs and processing time increase
Solution Approach 1:
The patent divides the side surface imaging into multiple discrete positions around the circumference, capturing registration images at segmented locations (e.g., every 45 degrees). This segmentation allows the system to cover the entire circumference without requiring continuous imaging, reducing processing time while maintaining identification accuracy through selective position sampling.
Solution Approach 2:
The patent implements partial action by capturing registration images at strategically selected positions around the circumference rather than continuously imaging the entire surface. The system uses a predetermined number of positions (e.g., 8 positions at 45-degree intervals) which is sufficient for unique identification but less than full circumference imaging, thereby reducing calculation costs and processing time.
2Measurement precision
If imaging is performed for one circumference of the side surface to capture registration images at multiple positions, then unique identification of elliptic cylindrical objects is enabled, but device complexity increases
Solution Approach 1:
The patent segments the imaging task into discrete positional captures around the circumference, using a predetermined number of positions. This segmentation simplifies the control system compared to continuous imaging, as it requires only positional indexing and discrete capture operations, reducing device complexity while achieving unique identification.
Solution Approach 2:
The patent performs preliminary action by pre-determining the positions and number of registration images to be captured before actual collation. The system establishes a fixed imaging scheme (e.g., 8 positions at specific intervals) in advance, which simplifies the control logic and reduces real-time decision-making complexity during the collation process.
3Measurement precision
If multiple registration images are stored and collated to identify objects without reference marks, then unique identification is achieved, but calculation costs increase
Solution Approach 1:
The patent applies partial action by storing and collating only a predetermined number of registration images at specific positions around the circumference, rather than storing and processing all possible images. This selective approach reduces calculation costs while maintaining sufficient data for unique identification of elliptic cylindrical objects without reference marks.
Solution Approach 2:
The patent segments the registration image storage into discrete positional categories around the circumference. By organizing and collating images from predetermined positions (e.g., 8 segmented positions), the system reduces the total number of comparisons required compared to exhaustive full-circumference image collation, thereby lowering calculation costs while preserving identification accuracy.
Data Source
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AI summary
A collation device includes a memory that stores, as a registration image group, a random pattern depending on a microscopic pattern on a side surface of a target having an elliptic cylindrical shape including a columnar shape, and a processor, in which the registration image group is composed of plural registration images respectively acquired at plural positions at a predetermined interval over a whole circumference of the side surface, and the processor executes a program to collate a collation image obtained by imaging the side surface at an angle of view including at least one registration image among the plurality of registration images and the registration image group and to output a collation result.