3D Shoe-Part Modeling Using Laser Scanning for Automated Manufacturing
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Solution Overview
Problem
Existing shoe manufacturing methods are resource-intensive and prone to high variability due to manual execution in manipulating and assembling three-dimensional shoe parts.
Innovation Solution
An automated system that analyzes scans of shoe parts using a laser and camera to generate dimension data, which is then used to create a 3-D model of the shoe part, enabling automated manufacturing processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automated 3-D modeling system with laser and camera is implemented, then productivity and manufacturing precision are improved, but device complexity increases
Solution Approach 1:
The system segments the manufacturing process into distinct phases: laser line projection onto the shoe part surface, camera capture of the projected lines from multiple angles, coordinate extraction from captured images, and 3-D model construction from coordinate data. This segmentation allows each subsystem to be independently optimized and controlled, improving overall productivity while managing device complexity through modular architecture.
Solution Approach 2:
The system creates accurate digital 3-D copies of physical shoe parts through laser scanning and coordinate mapping. These digital models serve as virtual replicas that can be manipulated, analyzed, and used for manufacturing planning without requiring physical prototypes or manual measurements, significantly improving productivity and precision while reducing the need for complex physical handling apparatus.
2Measurement precision
If multiple lasers and cameras are used to scan difficult surfaces, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The system employs asymmetric positioning of the laser and camera at specific angles relative to the shoe part surface, optimized for capturing complex geometries. The laser projects lines at angles that maximize surface coverage, while the camera is positioned to capture the distorted line patterns that reveal three-dimensional surface information. This asymmetric configuration achieves high measurement precision for difficult surfaces without requiring symmetric arrays of multiple sensors.
Solution Approach 2:
The system uses a moving apparatus that translates the laser-camera assembly through three-dimensional space, adding temporal and spatial dimensions to the scanning process. Instead of using multiple fixed sensors simultaneously, a single laser-camera pair captures surface data from multiple positions and angles by moving through space, achieving complete surface coverage and high measurement precision while minimizing the number of physical components required.
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 reduces resource intensity and variability by accurately modeling and manufacturing shoe parts, allowing for precise automation of manufacturing steps and improved quality control.
Implementation Method 1
a laser beam may be projected onto a shoe-part surface, such that a projected laser line appears on the surface and follows a surface contour creating a cross-section of the shoe-part surface
Implementation Method 2
a camera that records multiple images of the projected laser line, each image depicting a representation of the projected laser line extending across the section
Data Source
AI summary
Manufacturing of a shoe is enhanced by creating 3-D models of shoe parts. For example, a laser beam may be projected onto a shoe-part surface, such that a projected laser line appears on the shoe part. An image of the projected laser line may be analyzed to determine coordinate information, which may be converted into geometric coordinate values usable to create a 3-D model of the shoe part. Once a 3-D model is known and is converted to a coordinate system recognized by shoe-manufacturing tools, certain manufacturing steps may be automated.