Autofocus for Remote Flying Objects Using Radar and Temperature Data
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Solution Overview
Problem
Remote flying objects, such as drones or birds, are difficult to identify and classify when out of focus, and maintaining focus while tracking these objects is challenging, especially at long distances and varying temperatures, leading to inaccurate identification and classification.
Innovation Solution
A system comprising a processor and interface that uses radar and camera data to automatically adjust the lens focus, zoom, and pointing direction, incorporating temperature compensation and sensor fusion to maintain clear images of remote flying objects, enabling accurate identification and classification.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual focus adjustment is used for remote flying objects, then identification accuracy can be improved when in focus, but the system becomes difficult to operate and cannot maintain focus during tracking
Solution Approach 1:
The system employs an autofocus mechanism that automatically adjusts the lens focus based on detected object distance, eliminating the need for manual intervention. The processor continuously monitors object position and autonomously modifies focal settings to maintain sharp images during tracking operations.
Solution Approach 2:
The system implements a feedback loop where the processor receives continuous data about object position and distance, compares it against optimal focus parameters, and automatically adjusts the lens accordingly. This closed-loop control ensures focus is maintained dynamically as the remote flying object moves.
2Measurement precision
If focus is adjusted for stationary objects, then clear images can be obtained, but the system cannot track and maintain focus on moving remote flying objects
Solution Approach 1:
The focus system transitions from a static, stationary-object optimization to a dynamic system that continuously adapts to moving targets. The processor calculates real-time distance to flying objects and adjusts focal length dynamically, enabling both clear imaging and effective tracking of moving remote objects.
3Measurement precision
If temperature compensation is not implemented, then device complexity is reduced, but focus accuracy deteriorates at varying temperatures
Solution Approach 1:
The system replaces complex mechanical temperature compensation mechanisms with computational methods. The processor calculates focus adjustments based on temperature data and optical characteristics, substituting physical compensation hardware with software-based algorithms that achieve the same effect with reduced complexity.
Data Source
AI summary
A system for automatically acquiring focus of remote flying objects (RFOs) includes an interface and processor. The interface is configured to receive a radar data and a lens temperature data. The processor is configured to determine a focal setting for a lens system based at least in part on the radar data and the lens temperature data; and provide the focal setting for the lens system.