Vision System Auto-Setup for New Label Inspection
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Solution Overview
Problem
Vision systems for manufacturing machines, such as labelling machines, require complex and time-consuming setup procedures for new applications, necessitating specialized operator intervention and leading to prolonged machine stoppages due to the need for manual adjustment of camera and lighting parameters based on the characteristics of new labels.
Innovation Solution
An automatic procedure for setting the vision system, which involves testing multiple operating conditions and selecting the optimal parameters for cameras and lighting devices using image-processing algorithms to ensure clear feature reproduction, allowing for quick adaptation to new label types without requiring specialized operator intervention.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual adjustment of camera and lighting parameters is performed by specialized operators, then the vision system can be accurately configured for new applications, but the setup time increases and machine stoppages are prolonged
Solution Approach 1:
The vision system automatically configures itself by capturing test images, analyzing them through image processing algorithms, and autonomously determining optimal camera and lighting parameters for new applications, eliminating the need for manual operator intervention
Solution Approach 2:
The patent replaces manual operator adjustment with an automated image processing system that uses algorithms to analyze captured images and automatically determine optimal operating parameters, substituting human expertise with computational analysis
2Reliability
If multiple tests are performed to find suitable operating parameters, then the vision system can be optimized for new applications, but the number of tests increases machine stoppage duration
Solution Approach 1:
The system performs a brief automated testing sequence that captures multiple test images and rapidly analyzes them to pre-determine optimal parameters before actual production begins, minimizing the impact on machine availability
Solution Approach 2:
The image processing unit analyzes test images and provides feedback on parameter effectiveness, allowing the system to iteratively refine and select optimal camera and lighting settings automatically without requiring extensive manual testing
3Measurement precision
If specialized operators are required for vision system setup, then accurate parameter selection can be achieved, but operational complexity increases
Solution Approach 1:
The vision system autonomously performs the entire parameter selection process by capturing test images, analyzing them through embedded image processing algorithms, and automatically configuring optimal settings, completely eliminating the need for specialized operator knowledge
Solution Approach 2:
The patent replaces the need for specialized operator expertise with an automated computational system that uses image processing algorithms to perform parameter selection, substituting human cognitive skills with automated computational analysis
Data Source
AI summary
Described herein is a method for operating a vision system for controlling an operating process of a manufacturing machine operating on articles, wherein the vision system includes: at least one camera; at least one lighting device; and at least one image-processing unit; and wherein the method includes an automatic procedure for setting the vision system.