Modular Peg Loom With Image-Guided Stringing Instructions
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Solution Overview
Problem
String art is labor-intensive and time-consuming due to the number of winds required and the likelihood of errors in stringing, necessitating an improved method and system for creating geometric patterns or representational designs.
Innovation Solution
A loom assembly comprising modular components with pegs and guides, combined with a computing device that generates stringing instructions based on image data to automate the stringing process, allowing for efficient and error-reduced creation of string art.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If traditional manual stringing method is used, then flexibility and simplicity of the loom structure are maintained, but labor intensity and time consumption increase significantly
Solution Approach 1:
The system uses image recognition technology to automatically analyze the desired pattern and generate corresponding stringing instructions, eliminating the need for manual planning and calculation. The loom then executes these instructions automatically, making the system self-sufficient in transforming design images into string art without continuous human intervention.
Solution Approach 2:
The patent replaces manual mechanical stringing operations with an automated control system that uses image processing algorithms and automated loom mechanisms. The computing device processes images and generates control signals that automatically guide the stringing process, substituting human manual operations with computational and automated mechanical systems.
2Device complexity
If traditional manual stringing method is used, then device complexity remains low, but error rate in stringing increases
Solution Approach 1:
The system incorporates image recognition that captures the desired pattern, processes it through algorithms, and provides feedback in the form of precise stringing instructions to the loom. This closed-loop feedback mechanism ensures that the stringing process accurately replicates the target image, significantly reducing errors compared to manual stringing.
Solution Approach 2:
The computing device performs preliminary analysis of the target image, pre-calculates the stringing path and instructions, and prepares the control sequence before the actual stringing begins. This preliminary action ensures that all stringing operations are predetermined and executed with high precision, minimizing errors during the physical stringing process.
3Productivity
If automated stringing system is implemented, then productivity and accuracy improve, but device complexity increases
Solution Approach 1:
The system is divided into distinct modular components: an image input module, a computing device for processing and instruction generation, and an automated loom execution module. This segmentation allows each component to perform its specific function independently, making the overall complex system manageable and maintainable while achieving high productivity.
Solution Approach 2:
The computing device serves multiple functions: it captures or receives the target image, processes the image data, generates stringing instructions, and controls the loom operations. This multi-functionality reduces the need for separate dedicated devices for each task, thereby limiting the increase in overall device complexity while maintaining high productivity.
Data Source
AI summary
A loom including a body that includes a plurality of modular components, each modular component including a first end defining a female feature, a second end including a male feature, the male feature configured to releasably couple to the male feature of another of the plurality of modular components, an outer wall extending between the first end and the second, an inner wall extending between the first end and the second end, the inner wall positioned opposite the outer wall, a top surface extending between the outer wall and the inner wall, and a plurality of pegs extending from the top surface.