Dynamic Camera Focus Control for Moving UAVs
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Solution Overview
Problem
Existing methods for focusing imaging devices on unmanned aerial vehicles (UAVs) are not optimal when the UAV is in motion, leading to reduced image quality due to changing spatial relationships between the UAV and the target object.
Innovation Solution
The system employs sensors to detect motion information, which processors use to modify imaging device parameters, such as focal length and optical center distance, to maintain focus on a target object as the UAV moves, utilizing a combination of inertial, GPS, and vision sensors with sensor fusion algorithms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If the imaging device uses fixed focusing parameters, then the device structure is simple, but the image quality deteriorates when the UAV is in motion due to changing spatial relationships
Solution Approach 1:
The patent implements dynamic focusing by continuously adjusting the focusing parameter based on real-time motion detection. The system transitions from static to dynamic control, where the focusing parameter is modified in response to detected UAV motion, enabling the imaging device to maintain focus on the target object during movement.
Solution Approach 2:
The system employs feedback control by detecting motion information and using this feedback to adjust the focusing parameter. The motion detection mechanism provides continuous feedback about the UAV's movement state, which is then fed back into the focusing control system to automatically adjust parameters and maintain image quality.
2Reliability
If the system dynamically adjusts imaging parameters based on motion detection, then the imaging device maintains focus on the target object during UAV motion, but the device complexity increases due to additional sensors and processing
Solution Approach 1:
The motion detection mechanism serves multiple functions: it detects UAV motion, determines spatial relationship changes, and drives focusing parameter adjustments. This multi-functional approach reduces the need for separate dedicated components for each function, thereby limiting the increase in device complexity while maintaining reliable focus during motion.
Solution Approach 2:
The system performs self-adjustment by automatically detecting its own motion state and autonomously modifying focusing parameters without external intervention. This self-service capability eliminates the need for manual focusing adjustments or complex external control systems, reducing overall device complexity while ensuring reliable focus maintenance.
Data Source
AI summary
Systems, methods, and devices for setting camera parameters are provided. In one aspect, a system for imaging a target object using an imaging device carried by a movable object comprises: one or more sensors configured to detect motion information for the movable object; and one or more processors configured to: receive, from the one or more sensors, the motion information for the movable object; determine, based on the motion information, a change in a spatial relationship between the movable object and the target object; and modify one or more parameters of the imaging device based on the determined change in the spatial relationship between the movable object and the target object such that the imaging device is focused on the target object.