Inspection Result Graph for Reference Value Adjustment Errors
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Solution Overview
Problem
Existing inspection systems face determination errors where products are incorrectly classified as good or defective, requiring manual adjustment of reference values, which is inefficient and prone to errors.
Innovation Solution
A method and device for graphically displaying inspection results and allowing intuitive adjustment of reference values, reducing determination errors by visually representing the impact of changes on product classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the user directly inputs a new reference value by checking measurement values on the display unit, then the reference value can be adjusted, but the process is inefficient and prone to errors
Solution Approach 1:
The patent transforms the reference value adjustment from a one-dimensional numerical input process to a two-dimensional graphical interaction process. The inspection result graph displays measurement values visually with the reference value represented as a vertical line, allowing users to adjust the reference value by dragging the line on the graph rather than typing numbers, which improves accuracy and convenience simultaneously
Solution Approach 2:
The patent introduces an inspection result graph as an intermediary between the measurement data and the reference value setting. This graph serves as a visual mediator that helps users understand the relationship between measurement values and reference values, making the adjustment process more intuitive and less error-prone
2Ease of operation
If the inspection system displays only numerical measurement values, then the system is simple, but the user cannot intuitively understand the impact of reference value changes on product classification
Solution Approach 1:
The patent adds a visual dimension to the numerical data by creating an inspection result graph that plots measurement values against product classifications. This graphical representation allows users to intuitively see how reference value changes affect the classification of products as good or defective, transforming abstract numbers into visual information
3Productivity
If the user manually checks measurement values and inputs reference values, then the system requires minimal processing, but the quality determination process is time-consuming
Solution Approach 1:
The patent performs preliminary actions by automatically generating the inspection result graph and calculating the relationship between measurement values and reference values before the user needs to adjust the reference value. This preparation work is done in advance, so when the user needs to adjust the reference value, they can do so quickly by interacting with the pre-prepared graph rather than manually calculating or checking values
Data Source
AI summary
A method for adjusting a condition for determining a quality of an inspection object comprises: acquiring measurement values for the structures of a plurality of inspection objects; determining whether each of the plurality of inspection objects is good or defective by comparing error values of the measurement values with respect to design values with a predetermined reference value; identifying one or more inspection objects in which determination error has occurred among the plurality of inspection objects; generating and outputting an inspection result graph including the number of inspection objects according to the error values, the reference value, and the number of the one or more inspection objects in which the determination error has occurred; updating the reference value according to a graphical input; and redetermining whether each of the plurality of inspection objects is good or defective by comparing the error values with the updated reference value.