Machine Vision Interface Iterative Analysis
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Solution Overview
Problem
Machine vision systems are time-intensive, inefficient, and inconsistent due to the complexity and lack of uniformity in their processing techniques, leading to unreliable results.
Innovation Solution
Integrating sequential, logical, and geometric relationships into the algorithm of machine vision systems to simplify and standardize the processing pathway, allowing for iterative analysis and adaptive detection operations based on user-configurable logic and geometrical modifications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple processing techniques (segmentation, edge detection, pattern recognition, machine learning) are used in machine vision systems, then the system can achieve comprehensive image analysis, but the processing becomes time-intensive and inefficient
Solution Approach 1:
The patent segments the image processing task into distinct operational relationships (sequential, logical, geometric) that can be processed independently and systematically. By dividing the complex processing into structured segments with defined relationships, the system achieves comprehensive analysis while maintaining processing efficiency through organized, non-redundant operations.
2Adaptability or versatility
If multiple processing techniques are employed with various algorithms, then the system can handle diverse image analysis tasks, but the results become inconsistent due to lack of uniformity
Solution Approach 1:
The patent creates a universal processing framework where sequential, logical, and geometric operational relationships serve as standardized interfaces for diverse image analysis tasks. This multi-functional approach allows different processing techniques to operate through a common structure, ensuring consistent results across varied applications while maintaining adaptability to different image analysis requirements.
Solution Approach 2:
The patent standardizes processing by defining specific operational relationship parameters (sequential order, logical conditions, geometric transformations) that uniformize how different algorithms interact with the image data. By controlling these parameters, the system achieves consistent results across diverse processing techniques while maintaining the ability to adapt to different analytical needs.
3Difficulty of detecting and measuring
If complex processing techniques are used to achieve desired image analysis results, then the system can handle sophisticated detection tasks, but the system becomes unreliable due to inconsistent processing
Solution Approach 1:
The patent implements feedback mechanisms within the operational relationships where sequential operations build upon previous results, logical operations validate conditions before proceeding, and geometric operations maintain spatial consistency. This feedback structure ensures that complex detection tasks are performed reliably by continuously verifying and adjusting processing outcomes through defined relationship constraints.
Data Source
AI summary
A method is disclosed which includes illuminating one or more objects when they enter a field of view (FOV). The method includes capturing an image of one or more objects once they enter the FOV, and performing an iterative analysis of the image based on a plurality of detection operations and according to one or more sequential operational relationships and one or more logical operational relationships. The iterative analysis comprises analyzing the image according to a first detection operation, modifying one or more geometrical operational relationships, and modifying a second detection operation based on the one or more sequential operational relationships, the one or more logical operational relationships, and the one or more geometrical operational relationships. The method further includes repeating the iterative analysis until a final detection operation is completed, and sending a signal to an exterior component to perform an action corresponding to the one or more objects.