Radio-Wave Motion Prediction for Low-Lag Camera Control
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Solution Overview
Problem
Existing camera systems face challenges in capturing key moments due to limited frames per second, time lag, high power consumption, and imperfect Electronic Image Stabilization (EIS) outcomes, particularly with image-based object tracking and EIS algorithms.
Innovation Solution
A method utilizing a radio-wave sensor and camera for motion prediction, which includes receiving spatial information, tracking objects, predicting motion trajectories, and controlling camera parameters based on the prediction results, integrating frame-level confidence indicators and AI/ML/CV for enhanced tracking and stabilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If image-based algorithms are used for object tracking to assist adaptive snapshots, then object recognition capability is improved, but time lag and power consumption increase
Solution Approach 1:
The patent replaces image-based algorithms with radio-wave sensor-based detection for object tracking and motion prediction. The radio-wave sensor directly measures spatial information including position and velocity without requiring complex image processing, thereby eliminating time lag while maintaining tracking accuracy.
Solution Approach 2:
The patent introduces radio-wave sensors as an intermediary between the camera and the object being tracked. The sensor provides real-time spatial information that serves as a mediator to predict object motion trajectories, enabling the camera to capture key moments without the time lag inherent in pure image-based processing.
2Measurement precision
If image-based algorithms are used for object tracking to assist adaptive snapshots, then object recognition capability is improved, but power consumption increases
Solution Approach 1:
The patent substitutes computationally intensive image-based algorithms with radio-wave sensor-based detection. The sensor provides direct spatial measurements with minimal processing requirements, dramatically reducing power consumption while maintaining or improving tracking accuracy.
3Stability of the object's composition
If Electronic Image Stabilization is applied to compensate camera movement, then image stability is improved, but system power consumption increases and Field of View is reduced
Solution Approach 1:
The patent performs preliminary action by using radio-wave sensors to predict object motion trajectories before the camera captures images. This advance knowledge allows the camera to be pre-positioned and pre-focused on the predicted location of moving objects, eliminating the need for power-consuming real-time EIS processing during image capture.
Solution Approach 2:
The patent replaces the mechanical/image-processing-based EIS system with a prediction-based approach using radio-wave sensor data. Instead of stabilizing images after capture through power-intensive processing, the system predicts object positions in advance and directs the camera accordingly, reducing power consumption while maintaining image stability.
4Stability of the object's composition
If Electronic Image Stabilization is applied to compensate camera movement, then image stability is improved, but Field of View is reduced
Solution Approach 1:
The patent uses preliminary motion prediction from radio-wave sensors to determine optimal camera positioning and framing before capture. This allows the full Field of View to be utilized for prediction purposes while the final captured image is stabilized through intelligent framing based on predicted object positions, not through cropping required by traditional EIS.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate and efficient capture of key moments with reduced power consumption, improved EIS, and robust object tracking, overcoming issues of hijacking, centralization, and loss of focus.
Implementation Method 1
receiving spatial information output by a radio-wave sensor, wherein the spatial information includes position and velocity of at least one point
Data Source
AI summary
A method for motion prediction includes receiving spatial information output by a radio-wave sensor, wherein the spatial information includes position and velocity of at least one point; receiving an image captured by a camera; tracking at least one object based on the spatial information and the image to obtain a consolidated tracking result; predicting a motion trajectory of the at least one object based on the consolidated tracking result to obtain a prediction result; and controlling the camera according to the prediction result.