Sewing Machine Embroidery Positioning via Targeted Image Capture
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Solution Overview
Problem
Existing sewing machines require significant time to extract feature points for positioning between multiple embroidery patterns, as they need to capture and process images of the entire sewable area to identify marker positions, which is inefficient.
Innovation Solution
The sewing machine captures and processes images of specific areas within the sewable range, extracts feature points from these images, and adjusts the embroidery data to correctly position and sew subsequent patterns, reducing the need for capturing the entire area.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the image capture portion captures images of the whole sewable area to identify marker positions, then the positioning accuracy between patterns is improved, but the time required to extract feature points increases
Solution Approach 1:
The patent divides the sewable area into multiple capture regions, where the image capture portion captures images of each region separately rather than capturing the entire area at once. This segmentation allows feature point extraction to be performed on smaller image portions, reducing the total processing time while maintaining positioning accuracy through coordinated capture of multiple regions.
Solution Approach 2:
The patent captures images of only the necessary portions of the sewable area (the capture regions containing markers) rather than the entire area. This partial action approach reduces the image processing load and extraction time while still obtaining sufficient information for accurate positioning between patterns.
2Reliability
If the image capture portion captures images of the whole sewable area, then all markers can be identified, but the processing complexity and time increase
Solution Approach 1:
The sewable area is divided into multiple capture regions, and markers are identified in each region separately. This segmentation reduces the complexity of processing large images while ensuring all markers are identified through systematic coverage of the entire sewable area via multiple targeted captures.
Solution Approach 2:
Instead of capturing and processing the entire sewable area at once, the system captures only the specific capture regions where markers are located. This partial action reduces processing complexity while maintaining complete marker identification by strategically selecting which areas to capture.
Data Source
AI summary
A sewing machine acquires embroidery data of an embroidery pattern including a first pattern to be sewn when a holding position of an embroidery frame is a first position and a second pattern to be sewn subsequent to the first pattern when the holding position is a second position. The sewing machine identifies an image capture area based on the embroidery data, and acquires first image data representing the image capture area and extracts a first feature point. And then, the sewing machine acquires second image data and extracts a second feature point. The sewing machine sets, based on the first feature point and the second image data, a layout of the second pattern with respect to the first pattern when the holding position is the second position and corrects the embroidery data. The sewing machine sews the second pattern on the sewing object based on the corrected embroidery data.