Long-range optical device image stabilization pivot detection
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Solution Overview
Problem
Existing long-range optical devices face challenges in accurately distinguishing between intentional and unintentional movements, leading to inefficient image stabilization, as current methods rely on fixed threshold values that can misinterpret movement intentions and delay or prematurely end pivot procedures.
Innovation Solution
A method that determines the mode of image stabilization by analyzing the derivatives of a trajectory formed from pitch and yaw movements, comparing these derivatives to limiting values, allowing for rapid and precise differentiation between intended and unintended movements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If fixed threshold values are used for mode detection, then the device complexity is reduced, but the measurement precision of movement situation detection deteriorates
Solution Approach 1:
The patent changes the parameter used for mode detection from fixed threshold values to time-dependent trajectory derivatives. By calculating the first and second derivatives of the trajectory with respect to time and comparing them to limiting values, the system achieves more precise differentiation between intentional and unintentional movements without significantly increasing device complexity
Solution Approach 2:
The patent replaces the simple threshold-based mechanical comparison system with a mathematical analysis system that uses derivative calculations. This substitution enables more accurate movement classification by analyzing the rate of change and acceleration of trajectory points, improving measurement precision while maintaining computational efficiency
2Ease of operation
If fixed threshold values are used for mode detection, then the ease of operation is improved, but the reliability of image stabilization deteriorates
Solution Approach 1:
The system changes from static threshold parameters to dynamic parameters based on trajectory derivatives. By continuously calculating the first derivative (velocity) and second derivative (acceleration) of the trajectory and comparing these time-varying parameters to limiting values, the system reliably adapts to different movement scenarios, preventing misclassification of movement intentions
Solution Approach 2:
The patent implements a feedback mechanism where the mode detection unit continuously monitors trajectory derivatives and adjusts the stabilization mode accordingly. The signal processing unit uses this feedback to determine whether to apply image stabilization, ensuring reliable operation by continuously adapting to the current movement situation rather than relying on fixed thresholds
3Measurement precision
If derivative-based trajectory analysis is used for mode detection, then the measurement precision of movement situation detection is improved, but the device complexity increases
Solution Approach 1:
The patent introduces time-dependent parameters (first and second derivatives of trajectory) to improve measurement precision. By focusing on specific derivative characteristics rather than analyzing entire trajectory histories, the system achieves high precision while controlling computational complexity through targeted mathematical operations
Solution Approach 2:
The patent applies partial action by using only the necessary derivative information (first and second derivatives at specific points) rather than analyzing the complete trajectory. This selective approach provides sufficient precision for mode detection without requiring excessive computational resources, balancing precision and complexity
4Reliability
If derivative-based trajectory analysis is used for mode detection, then the reliability of image stabilization is improved, but the loss of time for calculation increases
Solution Approach 1:
The system changes from comparing entire trajectory profiles to comparing specific derivative parameters (first and second derivatives) at current time points. This parameter transformation enables real-time reliability assessment with minimal calculation time, as derivatives can be computed from recent trajectory points without requiring historical analysis
Solution Approach 2:
The patent performs preliminary calculation by continuously maintaining derivative values ready for comparison. The mode detection unit is prepared to immediately evaluate the first and second derivatives against limiting values, eliminating delays associated with post-hoc trajectory analysis and enabling rapid, reliable mode determination
Data Source
AI summary
A long-range optical device has at least one tube in which an optical system is positioned and has at least one image stabilization unit which moves at least one optical assembly of the optical system relative to the at least one tube. The device has at least one signal processing unit which actuates the at least one image stabilization unit in one mode of a plurality of modes where a respective movement situation of the long-range optical device is assigned to each mode. The device also has a mode detection unit that determines the mode and ascertains at least one comparative value from a respective location derivative value of a trajectory formed from a first movement and a second movement of the long-range optical device and compares the at least one comparative value to a respective limiting value.