Sewing Machine Camera Calibration for Coordinate Accuracy
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Solution Overview
Problem
Conventional sewing machines equipped with image pickup devices face issues with precise coordinate acquisition, leading to potential shifts in image coordinates, which can result in imperfect sewing results due to uncorrected camera properties and setup conditions.
Innovation Solution
A sewing machine with an image pickup device, feature point coordinates calculation device, reference coordinates storage, correlation device, and parameter calculation device to accurately determine and correct image pickup parameters, ensuring precise coordinate acquisition and image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If an image picked up with an electronic camera is used directly for sewing data modification, then the sewing machine can perform automatic sewing based on captured images, but coordinate shifts occur due to uncorrected camera properties and setup conditions
Solution Approach 1:
The system performs camera calibration before actual sewing operations by capturing images of a calibration pattern with known feature point coordinates. This preliminary action establishes correction parameters (internal and external) that compensate for camera properties and setup conditions, ensuring accurate coordinate measurement during subsequent automatic sewing operations
Solution Approach 2:
The system uses feedback from comparing captured feature point coordinates with predetermined reference coordinates to continuously correct and refine position information. This feedback mechanism allows the sewing machine to adjust for coordinate shifts and maintain high measurement precision during automatic operation
2Measurement precision
If camera calibration is performed to correct image strain and achieve precise coordinate measurement, then measurement precision improves, but the device complexity increases due to additional calculation processes
Solution Approach 1:
The sewing machine performs self-calibration by automatically capturing images of a calibration pattern, extracting feature point coordinates, comparing them with reference coordinates, and calculating correction parameters without requiring external intervention. This self-service approach simplifies the overall system while maintaining high measurement precision
Solution Approach 2:
The system replaces complex manual calibration procedures with automated image processing and coordinate calculation algorithms. By using digital image analysis and mathematical calculations to determine correction parameters, the system achieves high measurement precision without requiring complex mechanical adjustment mechanisms
Data Source
AI summary
A sewing machine includes an image pickup device that picks up over a sewing machine bed; a feature point coordinates calculation device that extracts feature points from the picked up image and calculates two-dimensional coordinates of the extracted feature points; a reference coordinates storage device that stores reference coordinates, which are previously measured three-dimensional coordinates of the feature points; a correlation device that correlates the reference coordinates stored in the reference coordinates storage device with the feature point coordinates, which are the two-dimensional coordinates of the feature points calculated by the feature point coordinates calculation device; and a parameter calculation device that calculates a parameter about the image pickup device based on a result of correlation by the correlation device.