Sewing Machine Image Capture for Uniform Composite Imaging
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Solution Overview
Problem
Sewing machines with image capture capabilities face issues in generating composite images with uniform shades of color due to environmental factors like ambient brightness and light source differences, leading to color discrepancies at joints between partial images.
Innovation Solution
The sewing machine employs an image capture portion, conveyance mechanism, processor, and memory to identify a target range wider than the image capture range, calculate the minimum number of conveyance times, and adjust the relative position to capture images in a specified range, using reference image data to set the specified range and relative position for optimal image synthesis, thereby minimizing color differences at joints.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If the image capture portion captures images of the whole target range by dividing into partial images, then the coverage area is improved, but color uniformity deteriorates due to environmental factors like ambient brightness and light source differences
Solution Approach 1:
The patent divides the target range into multiple partial images captured by the image capture portion at different positions. The conveyance portion moves the object to capture different sections, and the processor synthesizes these segmented images into a composite image, thereby expanding the overall capture area while maintaining manageable image processing
Solution Approach 2:
The patent changes the relative position parameters between the object and image capture portion during consecutive captures. By adjusting the position at which partial images are captured and using reference image data to determine optimal capture settings, the system maintains consistent imaging conditions across different segments, reducing color discrepancies at joints
2Manufacturing precision
If the sewing machine uses reference image data to determine optimal capture settings, then image quality is improved, but processing complexity increases
Solution Approach 1:
The patent performs preliminary capture of reference image data representing uniform color information before capturing the actual object images. This reference data is stored and subsequently used to determine optimal capture settings and synthesize the composite image, thereby improving image quality through pre-established baseline information
Solution Approach 2:
The patent introduces reference image data as an intermediary element between the imaging system and the object being captured. This reference data serves as a mediator to standardize color information across multiple captures, enabling the processor to compensate for environmental variations and produce uniform composite images
Data Source
AI summary
A sewing machine includes an image capture portion, a conveyance portion, a processor and a memory. The conveyance portion is configured to convey an object to be captured relative to the image capture portion. The memory is configured to store computer-readable instructions that, when executed by the processor, instruct the processor to perform processes. The processes include identifying a target range that is wider than an image capture range and calculating a minimum number of times of conveyance in a first direction. The processes include setting a specified range and the relative position corresponding to the specified range, on the basis of color information of reference image data representing a reference image. The processes include controlling the image capture portion and the conveyance portion and synthesizing the plurality of generated partial image data to generate composite image data representing the whole of the target range.