Remote UAV Imaging Control With Real-Time Focus and Exposure Feedback
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Solution Overview
Problem
Existing aerial photography control systems face challenges in remotely and precisely adjusting imaging apparatuses on movable devices like UAVs, leading to inferior photography quality due to limitations in real-time control and stability, especially under windy conditions.
Innovation Solution
A control apparatus and method that acquires images from a movable device, adjusts imaging parameters, and sends instructions to the device for real-time image capture, utilizing interactive interfaces with focus and light metering icons for manual and automatic control, enabling precise focusing and exposure adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual regulation of camera gimbal and flight attitude is performed by ground operators, then imaging quality can be improved, but operation complexity increases and real-time control becomes difficult
Solution Approach 1:
The system enables automatic imaging quality adjustment through algorithms that autonomously analyze captured images and regulate camera gimbal and flight attitude without requiring manual ground operator intervention. The UAV performs self-adjustment based on real-time image feedback, eliminating the need for complex manual operations while maintaining high imaging quality.
2Adaptability or versatility
If remote control of imaging apparatus is implemented, then control range is extended, but control precision and stability deteriorate
Solution Approach 1:
The system implements real-time feedback mechanisms where captured images are transmitted to ground operators who can immediately review and provide correction instructions. The UAV receives and executes these feedback-based adjustments, maintaining high control precision despite extended remote control range. The continuous loop of capture-transmit-adjust ensures accurate remote operation.
3Manufacturing precision
If flight attitude and camera gimbal are continuously adjusted during aerial panoramic photography, then imaging quality is maintained, but operator workload and operation difficulty increase
Solution Approach 1:
The system implements automatic gimbal and flight attitude adjustment through algorithms that autonomously maintain proper imaging orientation during aerial panoramic photography. The UAV independently performs continuous adjustments without requiring manual ground operator intervention, significantly reducing operator workload while maintaining consistent high imaging quality throughout the panoramic capture process.
Data Source
AI summary
A method for controlling image capture includes: receiving, from a movable device, an image of a target imaging area; adjusting, by a first control apparatus, one or more first imaging parameters for imaging the target imaging area based at least in part on the image to obtain one or more first adjusted imaging parameters; adjusting, by operating on an interactive interface of a second control apparatus, one or more second imaging parameters for imaging the target imaging area based at least in part on the image to obtain one or more second adjusted imaging parameters, the interactive interface being configured to receive user interaction to control an attitude of a gimbal device configured on the movable device, the gimbal device carrying an imaging device for imaging the targeted area; and sending, by the first control apparatus and/or the second control apparatus, an instruction carrying the one or more first adjusted imaging parameters and the one or more second adjusted imaging parameters to the movable device.