Imaging Path Control for Divided Imaging of Linear Structures
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Solution Overview
Problem
Existing imaging systems struggle to efficiently perform divided imaging of subjects, particularly linear structures like power transmission lines, due to limitations in controlling imaging paths and adapting to varying subject information and imaging conditions.
Innovation Solution
A control device and imaging system that utilize a processor to set and control imaging paths based on discrete positions and subject information, including shape data and imaging parameters like angle of view and focus position, to efficiently divide and image subjects.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If conventional imaging systems are used for divided imaging of linear structures, then imaging can be performed, but imaging efficiency and adaptability to varying subject information are insufficient
Solution Approach 1:
The imaging path is dynamically adjusted based on detected subject information. The system detects discrete positions of the subject and automatically modifies imaging parameters including angle of view, focus position, and imaging direction to optimize imaging efficiency for each specific subject configuration
Solution Approach 2:
The system changes multiple imaging parameters simultaneously based on subject detection results. This includes adjusting the angle of view, focus position, and imaging direction according to the detected discrete positions and shape information of the subject, enabling adaptive optimization of imaging efficiency
2Manufacturing precision
If imaging paths are not precisely controlled, then imaging operations are simpler, but imaging quality and coverage are insufficient
Solution Approach 1:
The system implements feedback control by detecting discrete positions of the subject and using this information to automatically adjust imaging paths. The processor receives detection results and generates appropriate imaging control commands, creating a closed-loop system that ensures precise imaging quality without manual intervention
Solution Approach 2:
The imaging system performs self-adjustment by automatically determining imaging paths based on detected subject information. The processor autonomously calculates optimal imaging parameters including angle of view and focus position without requiring external control input, enabling the system to serve itself in optimizing imaging quality
3Area of stationary object
If manual imaging path control is used, then system complexity is reduced, but imaging coverage and quality for divided imaging are insufficient
Solution Approach 1:
The system performs preliminary detection of discrete subject positions before executing divided imaging. This preliminary action allows the processor to pre-calculate optimal imaging paths and parameters, ensuring comprehensive imaging coverage is achieved systematically across all subject regions
Solution Approach 2:
The imaging process is segmented into discrete steps corresponding to detected subject positions. The system divides the overall imaging task into multiple targeted imaging operations, each optimized for specific regions of the subject, thereby achieving complete coverage through systematic segmentation
Data Source
AI summary
A control device includes: a processor that controls an imaging apparatus and an imaging direction changing device capable of changing an imaging direction of the imaging apparatus, and the processor is configured to: set a first imaging path, which is an imaging path of a first subject, based on imaging information at discrete positions within the first subject and subject information related to the first subject; and control imaging of the first subject based on the first imaging path.