UAV Camera Platform Controller for Dynamic Zoom Tracking

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Unmanned aerial vehicles (UAVs) face challenges in capturing clear and stabilized images of moving targets due to relative motion between the UAV and the subject, requiring real-time adjustments in camera angle and focus, which can be cumbersome and inefficient without automated control systems.

Innovation Solution

An image capturing system for UAVs that includes a camera, a platform, and a platform controller, allowing for real-time zooming and rotating of the camera based on received instructions, with a focus adjustment unit and speed adjustment unit to control zoom magnification and rotating speed, enabling precise tracking of targets through wireless communication with a remote controller.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If real-time manual adjustment of camera angle and focus is performed through remote controller, then tracking of moving subject can be achieved, but operational complexity and time consumption increase significantly

Engineering Contradiction:
Improvetracking precisionVSAvoidoperation convenience
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The system enables self-service operation by automatically tracking the subject using the subject tracking module and algorithm, eliminating the need for manual remote control adjustments. The camera platform and zoom magnification are automatically adjusted based on subject position detection, allowing the system to serve itself in maintaining accurate tracking without continuous human intervention.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system implements feedback control by continuously detecting subject position through image processing, comparing it with the desired tracking position, and automatically adjusting camera angle and zoom magnification accordingly. This closed-loop feedback mechanism ensures precise tracking while reducing manual operation requirements.

Inventive Principle:
Principle #23Feedback

2Measurement precision

If zoom magnification is increased to focus on distant subject, then tracking precision improves, but rotating speed of camera platform must be reduced to maintain image stability

Engineering Contradiction:
Improvetracking precisionVSAvoidrotating speed
Core Design Contradiction:
Measurement precisionVSSpeed

Solution Approach 1:

The system dynamically adjusts the rotating speed of the camera platform based on the current zoom magnification level. When zoom magnification is high, the rotating speed is automatically reduced to prevent image instability, while when zoom is low, higher rotating speeds are permitted. This dynamic parameter adjustment optimizes both tracking precision and image stability throughout the operation.

Inventive Principle:
Principle #15Dynamics

3Productivity

If automated control system is implemented to adjust camera settings, then operational efficiency improves, but device complexity increases

Engineering Contradiction:
Improveoperational efficiencyVSAvoidsystem complexity
Core Design Contradiction:
ProductivityVSDevice complexity

Solution Approach 1:

The platform controller is designed as a multi-functional device that integrates subject tracking, camera platform control, zoom magnification adjustment, and rotating speed regulation all in one unit. This universal controller consolidates multiple functions into a single system, improving operational efficiency while minimizing the increase in overall device complexity through functional integration.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS10264189B2Image capturing system and method of unmanned aerial vehicle
Publication Date: 2019.04.16 ZEROTECH (SHENZHEN) INTELLIGENCE ROBOT CO LTD
  • US10264189B2 patent drawing
  • US10264189B2 patent drawing
  • US10264189B2 patent drawing

AI summary

An image capturing system of an unmanned aerial vehicle is disclosed. The image capturing system includes a camera; a platform carrying the camera; and a platform controller configured to adjust a rotating speed of the camera through the platform based on a rotating instruction information and a current zoom magnification of the camera. The current zoom magnification is substantially real-time obtained from the camera. An image capturing method of an unmanned aerial vehicle is also disclosed. In the method a first instruction information and a rotating instruction information are received. A camera is zoomed based on the first instruction information. A current zoom magnification of the camera is obtained. A rotating speed of the camera is adjusted through a platform based on the rotating instruction information and the current zoom magnification.