Printed Sheet Inspection Region Selection by Object Overlap
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Solution Overview
Problem
Existing inspection systems for printed products rely heavily on operator skill and time-consuming manual settings, leading to inconsistent inspection accuracy and efficiency.
Innovation Solution
An information processing apparatus that automatically determines an inspection level for each object in a printed sheet by calculating the proportion of overlapping inspection regions based on user-defined settings, ensuring consistent and accurate defect detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual inspection settings are used by operators, then inspection flexibility is maintained, but inspection time and effort increase significantly
Solution Approach 1:
The system automatically performs inspection region setting and determination without requiring manual operator intervention. The determination unit self-determines the appropriate inspection region based on overlapping region proportions, eliminating the need for operators to manually configure inspection parameters and significantly reducing setup time
Solution Approach 2:
The system pre-calculates and stores multiple candidate inspection regions with different levels of strictness before actual inspection begins. When inspection is needed, the system quickly selects from pre-prepared regions based on overlapping proportions rather than calculating from scratch, reducing real-time setup time
2Measurement precision
If multiple inspection regions with different levels are set manually, then inspection accuracy can be optimized, but the complexity of setting increases
Solution Approach 1:
The determination unit acts as an intermediary between the user's inspection requirements and the multiple pre-set inspection regions. It automatically selects the appropriate inspection region by calculating overlapping proportions between candidate regions and the detected object, translating complex multi-region configuration into simple automated selection
Solution Approach 2:
The system changes the parameter of inspection region selection based on the calculated proportion of overlapping regions. By dynamically adjusting which inspection region to apply (from multiple candidates with different strictness levels) based on quantitative proportion analysis, it optimizes inspection accuracy without requiring manual parameter tuning
3Productivity
If automated inspection region determination is implemented, then inspection efficiency improves, but the ability to handle diverse inspection scenarios may be limited
Solution Approach 1:
The system dynamically adapts its inspection region selection based on the specific characteristics of each detected object. The determination unit calculates overlapping proportions in real-time and selects inspection regions accordingly, allowing the automated system to flexibly handle diverse inspection scenarios rather than applying a fixed inspection approach to all objects
Data Source
AI summary
An information processing apparatus configured to perform setting to inspect a printed sheet includes: at least one memory that stores instructions; and at least one processor that executes the instructions to: set an inspection region for each inspection level indicating accuracy of the inspection based on a first user instruction for a reference image, which is a reference for the inspection; and extract an object existing in the reference image, in which in a case where a plurality of inspection regions which have the different inspection levels are set for the extracted object based on the first user instruction, one inspection region is determined from the plurality of the inspection regions based on a proportion of each of the plurality of the inspection regions included in the object, and the inspection level corresponding to the determined one inspection region is set as the inspection level for the object.