Pan-Tilt-Zoom UAV Tracking for Reliable Object Identification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
There is a need for improved automated systems and methods to reliably and efficiently identify and track unmanned aerial vehicles (UAVs) during design, development, and testing to ensure safe and efficient operations.
Innovation Solution
An automated identification and tracking system comprising a movable base with a pan and tilt adjustment mechanism and a zoom controller, which uses computer vision or machine learning algorithms to process imaging data from a camera, adjusting the camera's orientation and zoom to maintain the UAV within the field of view.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If automated identification and tracking systems are implemented, then reliability of UAV tracking is improved, but device complexity increases
Solution Approach 1:
The system divides the tracking task into distinct functional modules: imaging device for capture, movable base with pan/tilt for positioning, zoom controller for magnification, and controller for coordination. Each component performs a specific function, improving reliability through modular design while managing overall system complexity.
Solution Approach 2:
The controller receives imaging data, identifies UAV positions, and automatically adjusts pan, tilt, and zoom settings based on detected object location. This closed-loop feedback mechanism ensures reliable tracking by continuously adapting system parameters to maintain optimal viewing of the target.
2Productivity
If pan, tilt, and zoom adjustments are automated, then tracking efficiency is improved, but device complexity increases
Solution Approach 1:
The movable base integrates multiple functions (pan rotation, tilt adjustment) into a single mechanical platform, while the controller manages all adjustment operations universally. This multi-functionality improves tracking efficiency without proportionally increasing overall system complexity.
Solution Approach 2:
The system automatically detects UAV positions and self-adjusts pan, tilt, and zoom parameters without external intervention. This autonomous operation improves tracking efficiency by eliminating manual control requirements while the automated nature manages complexity through software-based coordination.
3Reliability
If continuous tracking is maintained, then identification reliability is improved, but use of energy increases
Solution Approach 1:
The system processes imaging data at discrete intervals and adjusts parameters periodically rather than continuously. This periodic operation maintains reliable identification capability while reducing energy consumption compared to constant real-time adjustment of all system parameters.
Data Source
AI summary
Automated object identification and tracking systems and methods may include an imaging device operatively coupled to a movable base. The movable base may include one or more actuators to adjust pan and/or tilt orientations of the movable base and imaging device, and the imaging device may include a zoom controller to adjust a zoom level of the imaging device. A controller of the movable base may receive imaging data from the imaging device, process the imaging data to identify an object, and track the object over a plurality of frames of imaging data by instructing adjustments to a pan orientation, a tilt orientation, and/or a zoom level to substantially maintain the identified object at a desired size and within a field of view of the imaging device based on a position and/or size of the object represented within the imaging data.