Mounting Device Edge Detection with Distance-Weighted Candidates
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Solution Overview
Problem
Existing information processing devices struggle to accurately detect the position of outer edge portions of components due to multiple edge candidates, leading to potential inaccuracies in positioning.
Innovation Solution
An information processing device that sets multiple detection lines for brightness difference detection, obtains a reference position using a weight coefficient decreasing with distance, and selects the outer edge portion based on candidate values to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple detection lines are used to detect brightness difference for outer edge portion detection, then the detection coverage is improved, but the reliability of detecting the correct outer edge position deteriorates due to multiple edge candidates
Solution Approach 1:
The patent divides the detection area into multiple detection lines and further segments the edge candidates on each line into multiple regions. By segmenting the candidates and applying different weight coefficients to different regions, the system can distinguish the true outer edge from false candidates while maintaining comprehensive detection coverage across the component.
Solution Approach 2:
The patent applies different weight coefficients to different regions of edge candidates based on their positional characteristics. Regions closer to the expected outer edge position receive higher weights, while regions farther away receive lower weights. This local differentiation allows the system to reliably identify the correct outer edge position even when multiple candidates exist across multiple detection lines.
2Device complexity
If edge detection is performed without considering multiple edge candidates, then the processing is simpler, but the accuracy of outer edge position detection deteriorates
Solution Approach 1:
The patent performs preliminary segmentation of edge candidates into multiple regions before final selection. By pre-organizing the candidates and assigning weight coefficients in advance, the system prepares the data structure needed for accurate selection without adding excessive processing complexity during the detection phase.
Solution Approach 2:
The patent uses the weight coefficient calculation as a feedback mechanism that evaluates each edge candidate based on its position relative to detection lines and component geometry. This feedback allows the system to automatically select the most accurate outer edge position from multiple candidates, improving measurement precision while maintaining reasonable processing complexity.
Data Source
AI summary
An information processing device is a device used in a mounting device that collects a component and arranges the component on a substrate. In this information processing device, a control section acquires a captured image including a component, sets multiple detection lines for detecting a brightness difference of the component with respect to the acquired captured image in the component, and obtains a reference position of an outer edge portion from the multiple detection lines. Next, the control section uses a predetermined weight coefficient of which weight tends to decrease as a distance from the reference position increases to obtain a candidate value obtained by adding the weight coefficient to one or more outer edge portion candidates existing on the detection line. Subsequently, the control section selects a position of the outer edge portion existing on the detection line based on the obtained candidate value.