Image Analysis for Target Object Inclusion in Flexible Testing
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Solution Overview
Problem
When an image capturing device is not fixed, there is a possibility that the target object may not be included in the image, preventing an appropriate test from being executed using a learned model.
Innovation Solution
An image processing device that acquires images, analyzes whether the target object is included, and generates an analysis result indicating if the image is appropriate for testing. If the target object is included, the device uses a testing learned model to perform the test, ensuring the image is appropriate by analyzing composition, luminance, and sharpness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If the image capturing device is not fixed, then the device has higher flexibility and ease of operation, but the target object may not be included in the image, preventing appropriate testing
Solution Approach 1:
The analysis generation unit performs preliminary analysis to determine whether the target object is included in the image before the testing unit executes the test. This preliminary check ensures that only images containing the target object proceed to testing, resolving the contradiction by maintaining flexibility while ensuring reliability through advance verification
Solution Approach 2:
The system implements feedback by having the analysis generation unit continuously monitor and evaluate image content, then provide feedback to the testing unit. When the target object is not detected in the image, the feedback mechanism prevents testing from proceeding, thus maintaining reliability while allowing the non-fixed capturing device to operate freely
2Reliability
If the image capturing device is fixed, then the target object is reliably included in the image, but the device loses flexibility and ease of operation
Solution Approach 1:
The invention extracts the reliability function from the physical fixation of the image capturing device. Instead of relying on the device being fixed to ensure target object inclusion, the system extracts and implements reliability through the analysis generation unit that independently verifies target object presence in each image, allowing the capturing device to be non-fixed while maintaining testing reliability
3Reliability
If the analysis generation unit checks image appropriateness, then testing reliability is improved, but device complexity increases
Solution Approach 1:
The image processing device is segmented into distinct functional units: the acquisition unit for capturing images, the analysis generation unit for evaluating image appropriateness, and the testing unit for executing tests. This segmentation allows each unit to perform its specific function independently, improving testing reliability through specialized analysis while managing device complexity through modular architecture
Data Source
AI summary
An image processing device includes an acquisition unit that acquires an image and a testing learned model for testing a target object of a test, an analysis generation unit that analyzes whether the target object of the test is included in the image or not by using the image and generates an analysis result indicating that the image is appropriate as an image used for the test when the target object is included in the image, and a testing unit that tests the target object included in the image by using the image and the testing learned model when the analysis result indicates that the image is appropriate as an image used for the test.