Part Enrollment Inspection Paths for Accurate Multi-Part Inspection
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Solution Overview
Problem
Existing inspection technologies for manufactured products are often complex, require skilled users for configuration, and are inefficient for low-cost or low-margin parts, leading to inaccuracies and inefficiencies in manual inspections.
Innovation Solution
A universal inspection system incorporating hardware elements like illumination devices and sensors, mounted on a moveable arm, with integrated computing for data analysis and user-friendly interfaces, enabling intuitive configuration and efficient inspection of multiple parts with minimal downtime.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual inspection is used, then operational flexibility is maintained, but inspection accuracy and efficiency deteriorate
Solution Approach 1:
The system performs self-configuration by automatically detecting part geometry and generating inspection routines without requiring skilled operators to manually program the system. The automated part enrollment process enables the system to inspect new parts through autonomous learning and adaptation.
Solution Approach 2:
A single automated inspection system is designed to handle multiple different part types and inspection tasks through the part enrollment process, replacing the need for multiple dedicated inspection systems while maintaining operational simplicity through standardized interfaces.
2Measurement precision
If dedicated inspection systems are used for specific parts, then inspection accuracy improves, but system adaptability and cost-effectiveness deteriorate
Solution Approach 1:
The patent implements a universal inspection platform that can inspect multiple different part types through the part enrollment process. Instead of requiring separate dedicated systems for each part, the system adapts to new parts by automatically enrolling them through geometric detection and routine generation.
Solution Approach 2:
The system adapts to different parts by dynamically changing inspection parameters, probe positions, and measurement routines based on the enrolled part geometry. This allows a single system to achieve dedicated-system-level accuracy for multiple part types without physical reconfiguration.
3Productivity
If complex automated inspection systems are deployed, then inspection efficiency improves, but system complexity and training requirements worsen
Solution Approach 1:
The system automatically performs configuration tasks including part geometry detection, inspection routine generation, and parameter optimization without requiring skilled operators. This self-configuration capability maintains high inspection efficiency while eliminating the need for complex manual setup and operator training.
Solution Approach 2:
The part enrollment process performs preliminary automatic configuration and optimization of inspection parameters before actual production inspection begins. This pre-setup phase captures part geometry and generates optimized routines in advance, enabling efficient production inspection without requiring operators to understand complex system configuration.
4Measurement precision
If manual inspection processes are used, then system simplicity is maintained, but inspection accuracy and consistency deteriorate
Solution Approach 1:
The patent replaces manual mechanical inspection processes with automated optical and sensor-based measurement systems. This substitution eliminates human error and variability while maintaining operational simplicity through the self-enrolling part enrollment process that requires minimal operator intervention.
Data Source
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AI summary
Systems and methods are disclosed for automated inspection and part enrollment. In one implementation, a selection of an area of a part is received within a graphical user interface depicting a representation of the part. Based on the selection of the area of the part, a location of the selected area is determined. Image capture parameter(s) are determined based on the determined location. Based on (a) the determined image capture parameters and (b) the location of the selected area, an inspection path is computed with respect to the part. The computed inspection path is executed with respect to the part via an inspection system.