Automated Shoe Part Assembly Using Image Recognition and Ultrasonic Welding
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Solution Overview
Problem
Manual methods for shoe manufacturing are resource-intensive and prone to high variability, making them inefficient and inconsistent.
Innovation Solution
An automated system that uses a part-recognition system to identify and position shoe parts through image analysis, employing a multi-functional manufacturing tool with a vacuum-powered part holder and ultrasonic welding horn to accurately attach parts in a three-dimensional space.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated manufacturing tools are used, then productivity and consistency are improved, but device complexity increases
Solution Approach 1:
The automated manufacturing system is divided into distinct functional modules: image recording subsystem, processing subsystem, and manufacturing tool subsystem. Each module performs a specific function (image capture, coordinate conversion and control signal generation, and physical manufacturing operations), allowing the complex system to be managed through modular components that can be independently optimized and maintained.
Solution Approach 2:
The processor acts as an intermediary between the image recorder and the manufacturing tool. It receives image data, converts pixel coordinates to real-world coordinates, generates appropriate control signals, and transmits them to the manufacturing tool. This intermediary layer decouples the sensing and actuation subsystems, reducing overall system complexity while enabling automated operation.
2Manufacturing precision
If image analysis is used to identify part positions, then manufacturing precision is improved, but measurement and detection difficulty increases
Solution Approach 1:
The system replaces manual visual inspection and positioning with an automated image-based detection system. The image recorder captures the positions of shoe parts, and the processor automatically converts these visual measurements into precise manufacturing coordinates, eliminating the need for manual measurement while achieving high positioning accuracy.
Solution Approach 2:
The image recorder creates a digital copy (image) of the physical shoe part arrangement. This digital representation is then processed to extract position information without physically touching or disturbing the parts. The coordinate conversion system maps this digital copy to the physical manufacturing space, enabling precise positioning through information processing rather than complex physical measurement.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
The system enables precise and efficient automated placement and attachment of shoe parts, reducing variability and increasing manufacturing efficiency by using image recognition and advanced tooling to guide the assembly process.
Implementation Method 1
a vacuum-powered part holder having a bottom surface adapted for contacting the attachment shoe part
Implementation Method 2
an ultrasonic-welding horn comprised of a distal end adapted for contacting the attachment shoe part
Data Source
AI summary
Manufacturing and assembly of a shoe or a portion of a shoe is enhanced by automated placement and assembly of shoe parts. For example, a part-recognition system analyzes an image of a shoe part to identify the part and determine a location of the part. Once the part is identified and located, the part can be manipulated by an automated manufacturing tool.