Multi-View Stitch Path Guidance With Real-Time Self-Correction
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Solution Overview
Problem
Existing systems for guiding items along a predetermined path on substrates, such as textiles, require significant manual intervention, are limited to specific styles and depths, and lack real-time self-correction capabilities, making them inefficient for various applications like sewing, cutting, and 3D printing.
Innovation Solution
A guiding apparatus that integrates lighting and optical sensors with a controller and user interface, capable of calibrating and automatically detecting materials and stitching paths, allowing for real-time self-correction and operation in multiple modes including calibration, inspection, teaching, and operation, to facilitate precise and automated actions like sewing, cutting, and 3D printing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If existing guiding systems are used, then manual intervention is required, but automation extent is reduced
Solution Approach 1:
The system performs self-calibration by automatically detecting calibration objects and determining transformation parameters without manual intervention. The multi-patch system autonomously identifies patches, determines their positions, and adjusts stitching parameters automatically, enabling the system to guide itself along predetermined paths while maintaining high automation extent.
Solution Approach 2:
The system performs preliminary calibration by detecting calibration objects and establishing transformation parameters before actual stitching operations begin. This preliminary action enables the system to automatically adapt to different materials and paths, reducing the need for manual setup and intervention during operation.
2Adaptability or versatility
If existing guiding systems are used, then specific styles and depths are limited, but adaptability is reduced
Solution Approach 1:
The system uses a universal calibration object with multiple patches that can be detected from different angles and distances. This multi-patch design allows the same calibration object to serve multiple functions: calibrating camera position, determining path orientation, and adapting to various material depths and styles, thereby increasing adaptability without proportionally increasing device complexity.
Solution Approach 2:
The system transitions from two-dimensional image detection to three-dimensional spatial understanding by using multiple patches at different depths and positions. This dimensional approach enables the system to accommodate variations in material depth and style while maintaining a relatively simple device structure through computational geometry rather than mechanical complexity.
3Manufacturing precision
If existing guiding systems are used, then real-time self-correction is lacking, but manufacturing precision is reduced
Solution Approach 1:
The system continuously monitors the actual positions of patches during stitching operations and compares them with predetermined path data. Based on this feedback, the system automatically adjusts stitching parameters in real-time to correct deviations, thereby improving manufacturing precision while establishing reliable self-correction capability.
Solution Approach 2:
The system dynamically adjusts stitching parameters based on real-time detection of patch positions and material characteristics. This dynamic adaptation allows the system to maintain high stitching accuracy across varying conditions while providing continuous self-correction, enhancing both manufacturing precision and operational reliability.
Data Source
AI summary
Disclosed are various systems and features for use with a machine, such as a sewing machine, to facilitate multi-patch multi-view systems that may reduce errors associated with material thickness, object height, perspective. Such systems and features may be useful in the context of performing an action along a self-guided path on a substrate.