Plant Image-Capture Control for Targeted Re-Capture
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Solution Overview
Problem
Existing image-capturing systems struggle to automatically identify and address abnormalities in captured images, such as unclear or improperly captured images, leading to inefficiencies and increased operator workload.
Innovation Solution
An image-capturing control apparatus that includes units for image acquisition, condition and environment information acquisition, in-image information detection, and instruction for re-capturing based on stored reference data to ensure clear and focused images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automatic image quality assessment is implemented, then image quality control is improved, but system complexity increases
Solution Approach 1:
The system divides image quality assessment into multiple independent evaluation dimensions including focus quality, exposure, noise characteristics, and subject completeness. Each dimension is assessed separately using dedicated detection algorithms, making the complex overall system manageable through modular segmentation of evaluation functions.
Solution Approach 2:
The patent introduces an intermediary image quality assessment module that acts as a mediator between the image capture device and the control system. This intermediary component automatically evaluates image quality and provides structured feedback, simplifying the interaction complexity while maintaining reliable quality control.
2Reliability
If manual inspection of captured images is performed, then image quality can be verified, but operator workload increases
Solution Approach 1:
The system implements self-service by enabling automatic image quality assessment and rejection of defective images without requiring operator intervention. The automated detection system independently evaluates image quality metrics and makes decisions about image acceptance or rejection, freeing operators from manual inspection tasks.
Solution Approach 2:
The patent establishes a feedback mechanism where the image quality assessment results are automatically fed back to the control system, which then provides instructions for re-capture or acceptance. This closed-loop feedback eliminates the need for continuous manual verification while maintaining high image quality standards.
3Productivity
If re-capture instructions are automatically issued, then productivity is improved, but measurement precision requirements increase
Solution Approach 1:
The system applies partial action by issuing re-capture instructions only for specific image defects that exceed predetermined thresholds, rather than requiring perfect precision for all image parameters. This allows the system to be productive by addressing only the most critical quality issues while maintaining acceptable overall image quality.
Solution Approach 2:
The patent utilizes parameter changes by adjusting the precision requirements and evaluation criteria dynamically based on the specific defect detected and the operational context. The system can modify assessment thresholds and re-capture instructions to balance productivity needs with sufficient measurement precision for the given situation.
Data Source
AI summary
Provided is an image-capturing control apparatus comprising an image acquisition unit that acquires an image captured in a plant, an environment information acquisition unit that acquires environment information in the plant, an image determination unit that determines whether the image is clear, and an image-capturing instruction unit that instructs an image-capturing apparatus to recapture the image based on at least one of an unclear region in the image or the environment information when the image is determined to be unclear. In the above-described image-capturing control apparatus, the image-capturing instruction unit may perform, on the image-capturing apparatus, an instruction of re-capturing, at least a part thereof being different in a case where it is determined that a subject region corresponding to a subject is unclear but regions other than the subject region are clear in the image and in a case where an entirety of the image determined to be unclear.