Auto-Focus Tracking for Clear Imaging of Remote Flying Targets
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Solution Overview
Problem
Remote flying objects are difficult to identify and classify when out of focus, and maintaining focus while tracking them is challenging, especially at long distances and with varying environmental conditions.
Innovation Solution
A system that uses a combination of radar and camera data to automatically adjust focus settings, zoom, and pointing direction for cameras mounted on sentry towers, incorporating temperature compensation and sensor fusion to maintain clear images of remote flying objects for accurate identification and tracking.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual focus adjustment is used for remote flying objects, then operator control flexibility is maintained, but identification accuracy deteriorates when the object is out of focus
Solution Approach 1:
The system employs an autofocus mechanism that automatically adjusts the lens focus without requiring manual intervention. The processor analyzes image data to determine focus quality and dynamically adjusts the lens element positions to achieve optimal focus, enabling the system to serve itself rather than relying on operator control.
Solution Approach 2:
The system implements a feedback loop where the processor continuously evaluates image focus quality using algorithms that analyze image sharpness and clarity. Based on this feedback, the system automatically adjusts the lens focus settings to maintain optimal identification accuracy of remote flying objects.
2Measurement precision
If focus is adjusted for stationary objects, then close-range identification is improved, but tracking of moving remote objects deteriorates
Solution Approach 1:
The system transitions from static focus settings optimized for stationary objects to dynamic focus adjustment that adapts to moving remote flying objects. The processor continuously updates focus parameters based on object distance, velocity, and acceleration, enabling effective tracking of airborne targets while maintaining identification accuracy.
3Measurement precision
If standard lens systems are used without temperature compensation, then device complexity is reduced, but focus accuracy deteriorates under varying environmental conditions
Solution Approach 1:
The system incorporates temperature sensors that monitor environmental conditions and dynamically adjusts lens focus parameters to compensate for thermal expansion and contraction. This parameter adjustment compensates for environmental variations, maintaining focus accuracy across different temperature conditions without requiring complex mechanical compensation mechanisms.
4Reliability
If radar and camera systems operate independently, then system complexity is minimized, but tracking reliability deteriorates for remote flying objects
Solution Approach 1:
The system merges radar and camera data streams into a unified tracking framework. The processor fuses target detection data from radar with visual data from the camera to improve tracking reliability of remote flying objects. This combination allows the system to leverage the complementary strengths of both sensors, with radar providing detection capability and camera providing identification capability.
Data Source
AI summary
A system for automatically maintaining focus while tracking remote flying objects includes an interface and processor. The interface is configured to receive two or more images. The processor is configured to determine a bounding box for an object in the two or more images; determine an estimated position for the object in a future image; and determine an estimated focus setting and an estimated pointing direction for a lens system.