3D Representation Alignment for Accurate PCB Difference Detection
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Solution Overview
Problem
Current methods for comparing 3D representations of printed circuit board assemblies are time-consuming and prone to missing subtle differences, leading to incorrect alterations.
Innovation Solution
A method involving the generation of transformation matrices to align and compare 3D representations, determining deformations, and identifying difference features through automated processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human eyes are used to inspect the difference between 3D representations, then the method is simple to implement, but it is time-consuming and prone to missing subtle differences
Solution Approach 1:
The patent replaces the mechanical human visual inspection system with an automated computer-based image processing system. The system uses transformation matrices to align 3D representations, extracts line segment features, and automatically compares geometric data to detect differences, eliminating the time-consuming and error-prone manual inspection process while significantly improving detection accuracy
Solution Approach 2:
The patent creates a transformed copy of the second 3D representation by generating transformation matrices that align it with the first 3D representation. This copied and transformed version allows for precise automated comparison of line segment features, enabling the system to detect subtle differences that would be difficult to identify through manual inspection
2Reliability
If human eyes are used to inspect the difference between 3D representations, then no complex equipment is needed, but incorrect alterations occur due to missing subtle differences
Solution Approach 1:
The patent replaces the unreliable human visual inspection system with a reliable automated computer-based system that uses transformation matrices and algorithmic comparison of line segment features. This substitution eliminates human error and provides consistent, reliable comparison results, justifying the increased system complexity through significant improvements in reliability
Solution Approach 2:
The patent introduces transformation matrices as an intermediary computational tool that bridges the two 3D representations. These matrices enable precise alignment and facilitate automated feature extraction and comparison, providing a reliable intermediary mechanism that ensures accurate and consistent difference detection
3Productivity
If multiple 3D representations with dozens of layers are compared manually, then the process follows a simple method, but the large number of components makes it inefficient
Solution Approach 1:
The patent segments the complex 3D representations into individual line segment features within each layer. By breaking down the multi-layered 3D data into discrete comparable units (line segments with specific features), the system can efficiently process and compare large numbers of components automatically, significantly improving productivity despite the increased data processing complexity
Solution Approach 2:
The patent creates transformed copies of the second 3D representation that align with the first representation. This copying approach allows the system to efficiently compare multiple layers and components by working with standardized, aligned data structures, improving processing efficiency while managing the complexity of handling multiple components
Data Source
AI summary
A comparison method for 3D representations includes steps of: determining a first deformation of a corresponding layer of a second 3D representation according to linear data of a corresponding layer of a first 3D representation and the second 3D representation; generating multiple transformation matrices configured to transform the corresponding layer of the second 3D representation into multiple transformed layers, where multiple second deformations of the multiple transformed layers are less than the first deformation; selecting a specific transformation matrix from the multiple transformation matrices to perform a transformation to generate a specific transformed layer; and comparing the specific transformed layer with the corresponding layer of the first 3D representation to find a difference feature between the specific transformed layer and the corresponding layer of the first 3D representation.