Antenna Board Alignment via Contrasting Background and Binarization
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Solution Overview
Problem
Current manufacturing processes, particularly in antenna manufacturing, face challenges in accurately detecting whether screws are correctly locked into screw holes due to similar colors between the antenna board and screw heads, leading to incorrect edge detection and alignment issues.
Innovation Solution
An antenna board alignment method involving a microprocessor that calculates central and outer positioning points using a camera and image processing, with the board placed on a contrasting background to enhance edge detection, and employing techniques like binarization and Gaussian filters to distinguish locked screws from unlocked holes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional edge detection techniques (Sobel, Kirsch, Prewitt, Canny) are used, then the detection process is simple and fast, but the detection accuracy deteriorates when the antenna board color is similar to the screw head color
Solution Approach 1:
The patent applies preliminary actions by first performing binarization on the image to convert it into a binary image where the antenna board and background are clearly distinguished. This preliminary step prepares the image for subsequent edge detection, ensuring that the detection algorithm can accurately identify edges even when the antenna board color is similar to the screw head color. The binarization process creates a clear distinction between the board and background before edge detection begins.
Solution Approach 2:
The patent introduces an intermediary element by using a contrasting background (different color from the antenna board) to enhance edge detection. This background acts as a mediator that creates a clear visual distinction between the antenna board and its surroundings, allowing traditional edge detection algorithms to work effectively. The contrasting background serves as an intermediate reference that improves the detection accuracy without requiring complex modification of the detection algorithms themselves.
2Device complexity
If the antenna board is not correctly aligned, then the detection process is simpler, but the detection accuracy of screw hole positions deteriorates
Solution Approach 1:
The patent applies preliminary action by implementing an alignment process that uses the contrasting background and binarized image to automatically position the antenna board correctly before detection begins. This preliminary alignment step ensures that the board is properly oriented and positioned, creating optimal conditions for accurate screw hole position detection. The alignment process prepares the system in advance, preventing detection errors that would occur with misaligned boards.
Solution Approach 2:
The patent replaces manual or mechanical alignment methods with an image processing-based alignment system. By using computer vision techniques to detect the antenna board's position and orientation relative to the contrasting background, the system automatically performs alignment without requiring complex mechanical adjustment mechanisms. This substitution of mechanical alignment with optical-digital alignment simplifies the overall system while improving precision.
3Quantity of substance
If similar colors between antenna board and screw head are used, then the manufacturing cost is reduced, but the detection accuracy deteriorates
Solution Approach 1:
The patent introduces a contrasting background as an intermediary element that compensates for the similar colors between the antenna board and screw head. This background serves as a reference frame that creates a clear distinction between the board and its surroundings, allowing the detection system to accurately identify the board's position and orientation. The intermediary background enables accurate detection without requiring expensive materials with contrasting colors.
Solution Approach 2:
The patent utilizes color changes by implementing binarization that transforms the original image into a binary representation where color differences are emphasized. The binarization process converts the image into distinct regions based on color intensity, creating a clear visual distinction between the antenna board and the contrasting background. This color transformation enables accurate edge and feature detection even when the original colors of the board and screw head are similar.
Data Source
AI summary
An antenna board alignment method includes following steps: A microprocessor finds a central positioning point on an antenna board to locate a positioning rectangle. The microprocessor finds four inner positioning points on the positioning rectangle to locate the antenna board. The microprocessor finds a plurality of outer positioning points at a plurality of edge locations on the antenna board to locate at least one edge of the antenna board.


