Gimbal Motion Classification for Shake Correction and User Tracking
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Solution Overview
Problem
Existing gimbal control systems fail to accurately distinguish between user-intended and unintended camera motion, leading to incorrect elimination of camera shake, which affects image quality.
Innovation Solution
A method and system for controlling a gimbal that detects the motion state of the gimbal or load, determining whether the motion is user-intended by checking rotation angles, angular velocities, or control signals, and adjusts the gimbal's movement accordingly to maintain the load's original posture or follow the user's intended motion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If the gimbal eliminates all camera motion, then image shake is reduced, but user-intended motions are mistakenly eliminated
Solution Approach 1:
The system detects motion state parameters (rotation angle, angular velocity) and uses this feedback to intelligently determine whether to compensate for motion. By continuously monitoring these parameters and comparing them against thresholds, the gimbal can adapt its compensation behavior to distinguish between shake and intentional motion, resolving the contradiction between eliminating harmful shake and preserving user-intended motion.
Solution Approach 2:
The patent changes the approach from binary motion elimination to parameter-based motion classification. By monitoring specific parameters (rotation angle threshold, angular velocity threshold) and changing the compensation behavior based on these parameter values, the system can differentiate between harmful shake and intentional camera movements, thus resolving the technical contradiction.
2Stability of the object's composition
If the gimbal compensates for all detected motion, then image stability is improved, but the camera cannot reach expected shooting angles
Solution Approach 1:
The system dynamically adjusts its compensation behavior based on real-time motion state detection. Rather than applying fixed compensation, the gimbal changes its response according to the detected motion characteristics, allowing it to maintain stability when needed and adapt to intentional angle changes when detected, thus resolving the contradiction between stability and adaptability.
Solution Approach 2:
By continuously detecting motion state parameters and using this feedback to adjust compensation behavior, the system can maintain image stability for unintended motions while allowing intentional shooting angle adjustments to proceed, resolving the contradiction between stability and versatility.
3Measurement precision
If the gimbal uses motion detection to distinguish user-intended motion, then motion classification accuracy is improved, but system complexity increases
Solution Approach 1:
The patent replaces complex mechanical or algorithmic motion analysis with simpler sensor-based detection of physical parameters (rotation angle, angular velocity). By using readily available sensors to measure these parameters and comparing them against predefined thresholds, the system achieves accurate motion classification without requiring complex computational mechanisms, thus resolving the contradiction between accuracy and complexity.
Data Source
AI summary
A method for controlling a gimbal configured to carry a load includes detecting a motion state of a motion of the gimbal or the load, comparing the motion state to a preset threshold to obtain a comparison result, and controlling the gimbal to maintain the load in an original posture based on the comparison result.