Imaging Control Device Dynamic Scene Adjustment
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Solution Overview
Problem
Existing imaging control systems for multiple cameras lack efficient methods to dynamically adjust imaging conditions based on changes in the scene, leading to unnecessary imaging or suboptimal image capture when subjects or backgrounds change.
Innovation Solution
An imaging control device and method that utilize first and second image information captured by cameras to adjust imaging conditions, such as imaging interval, angle, exposure, and mode, to ensure optimal capture based on the presence and arrangement of subjects and backgrounds, thereby optimizing image quality and reducing unnecessary imaging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If imaging control systems continuously capture images from multiple cameras without dynamic adjustment, then complete scene coverage is maintained, but unnecessary imaging increases and energy consumption rises
Solution Approach 1:
The imaging control system dynamically adjusts imaging conditions based on real-time scene changes detected by the imaging devices. The control unit modifies imaging parameters such as exposure, shutter speed, and capture frequency according to the detected subject or background changes, transitioning from static continuous imaging to dynamic conditional imaging that matches actual scene requirements
Solution Approach 2:
The system incorporates feedback mechanisms where imaging devices provide scene information back to the control unit, which then adjusts imaging conditions accordingly. This closed-loop control enables the system to respond to detected changes in subjects or backgrounds by modifying capture parameters to match actual imaging needs, reducing unnecessary imaging while maintaining scene coverage
2Manufacturing precision
If imaging conditions are not adjusted based on scene changes, then system operation is simplified, but image quality becomes suboptimal when subjects or backgrounds change
Solution Approach 1:
The imaging control system performs self-adjustment by automatically detecting scene changes and modifying imaging conditions without external intervention. The control unit autonomously processes image information, detects changes in subjects or backgrounds, and adjusts capture parameters accordingly, eliminating the need for manual control while maintaining high image quality
Solution Approach 2:
The system changes imaging parameters such as exposure value, shutter speed, aperture, and capture frequency based on detected scene conditions. When subjects or backgrounds change, the control unit modifies these parameters to optimize image quality for the new conditions, transforming fixed imaging settings into adaptive parameters that respond to real-time scene requirements
Data Source
AI summary
An imaging control device includes: a processor; and a memory, and the processor is configured to control one of a plurality of imaging devices based on first image information related to an image captured in a reference state by one of the plurality of imaging devices and second image information related to an image captured in a non-reference state by one of the plurality of imaging devices.