Graphical Inspection Workflow for Faster Defect Analysis Setup
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Solution Overview
Problem
Existing graphical programming interfaces for sample inspection require extensive programming and compilation for each change, lack intuitive configuration options, and fail to optimize parameter complexity and processing time, necessitating a more efficient and user-friendly interface for image analysis in pharmaceutical packaging inspection.
Innovation Solution
A graphical programming interface that allows for the creation and simulation of sample inspection processes, featuring blocks for image input, operation, sorting, and feedback, enabling parameter configuration and real-time process evaluation, with the ability to select and modify parameters for optimized image processing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If existing graphical programming interfaces are used to configure inspection algorithms, then the user can avoid syntax errors and build algorithms without programming capabilities, but the interface requires extensive programming and compilation for each change, increasing time consumption
Solution Approach 1:
The system performs preliminary analysis of the inspection task and automatically generates an initial inspection algorithm configuration based on pre-defined templates and historical data. This preliminary action provides a head start before the user begins customization, eliminating the need to program from scratch and reducing overall configuration time while maintaining ease of operation through the graphical interface.
2Measurement precision
If complex inspection algorithms are developed for each individual type of container and medicinal drug, then the analysis precision meets stringent quality standards, but the device complexity increases significantly
Solution Approach 1:
The system implements a universal inspection algorithm framework that can handle multiple container types and medicinal drugs through a single unified interface. The framework automatically adapts to different inspection requirements by selecting and configuring appropriate analysis modules from a library, eliminating the need to develop separate complex algorithms for each product type while maintaining high inspection precision through specialized processing when needed.
Solution Approach 2:
The inspection algorithm is divided into modular, independently configurable segments that can be selectively activated. Each segment handles a specific aspect of inspection (e.g., defect detection, dimensional measurement, surface analysis), allowing the system to assemble appropriate combinations for different product types without requiring complete algorithm redesign, thus reducing overall complexity while maintaining precision.
3Reliability
If image analysis operations are increased to meet quality standards, then the inspection thoroughness improves, but the processing time exceeds the rapid advancing times of samples on manufacturing lines
Solution Approach 1:
The system applies partial image analysis by selectively processing only the most critical regions of interest in each image rather than analyzing the entire image uniformly. Based on preliminary detection and defect probability maps, the system concentrates computational resources on areas most likely to contain defects, achieving thorough inspection of critical areas while reducing overall processing time to match manufacturing line speeds.
Solution Approach 2:
The inspection process uses periodic analysis with varying intensity levels. Rapid preliminary scanning is performed continuously at high speed, followed by more thorough periodic deep analysis of suspicious regions or samples with higher defect probability. This periodic approach maintains productivity by keeping average processing time low while ensuring reliability through comprehensive periodic inspection.
Data Source
AI summary
A graphical programming interface for programming an inspection process of samples. The inspection process is a recognition process, based on images, of defects of samples. A graphical programming interface includes at least one image input type block including an input into a memory of a multiplicity of images of at least one sample, a multiplicity of operation type blocks. Each operation type block includes at least one operation which processes images, a multiplicity of sorting type blocks. The graphical programming interface allows at least one image input type block to be selected if more than one input type block is provided for, at least one operation type block among the multiplicity of operation type blocks, and at least one sorting type block among the multiplicity of sorting type blocks.
