Mobile Camera Auto-Adaptation via Motion Sensor Thresholds
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Solution Overview
Problem
Existing mobile terminal cameras lack the ability to automatically adapt to different scenarios, requiring users to make manual adjustments for optimal camera settings, which is inconvenient and inefficient.
Innovation Solution
A method and system that collect motion data using a sensor to determine the current scenario and automatically adjust camera operation parameters, such as those related to walking, biking, driving, or being still, by setting predetermined threshold values for acceleration data to identify the user's motion state and adjust camera settings accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of camera parameters is required for different scenarios, then camera performance can be optimized for specific conditions, but user operation convenience deteriorates due to frequent manual adjustments
Solution Approach 1:
The camera system automatically detects motion scenarios using sensor data and adjusts camera parameters without user intervention. The system serves itself by analyzing acceleration patterns and autonomously selecting appropriate camera settings, eliminating the need for manual parameter adjustment while maintaining optimized performance for each scenario
Solution Approach 2:
The system continuously monitors motion sensor data and uses this feedback to dynamically adjust camera parameters. By establishing a closed-loop control system where sensor input directly influences camera setting output, the system adapts to changing scenarios in real-time, ensuring optimal performance while requiring no user input
2Ease of operation
If automatic scenario adaptation is implemented using sensor data analysis, then user operation convenience improves, but device complexity increases due to additional processing requirements
Solution Approach 1:
The patent extracts only the essential motion characteristics from sensor data - specifically the maximum acceleration values and their frequency - to determine motion scenarios. By focusing on key parameters rather than processing complete motion datasets, the system achieves automatic adaptation with minimal processing complexity, using simple threshold comparisons and counting operations
Solution Approach 2:
The system segments the motion detection process into discrete, manageable steps: collecting acceleration data, identifying maximum values, counting exceedances of threshold values, and mapping counts to specific scenarios. This segmentation transforms a complex continuous problem into a series of simple discrete decisions, reducing overall system complexity while maintaining effectiveness
3Measurement precision
If motion data collection and analysis is performed to determine user scenario, then camera adaptation accuracy improves, but energy consumption increases due to continuous sensor operation
Solution Approach 1:
The system collects motion data over predetermined time periods and performs analysis at regular intervals rather than continuously. By sampling motion characteristics periodically and using maximum value extraction within each period, the system achieves accurate scenario detection while minimizing energy consumption through batch processing rather than continuous operation
Solution Approach 2:
The system processes only the essential portion of motion data needed for scenario detection - specifically the maximum acceleration values and their frequency - rather than analyzing complete motion trajectories. This partial processing approach maintains scenario detection accuracy while significantly reducing computational energy requirements by ignoring redundant data
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 users to take pictures or videos conveniently and effectively without frequent manual adjustments, as the camera automatically optimizes settings based on the detected motion scenario, enhancing the user experience by ensuring optimal performance in various environments.
Implementation Method 1
collects motion data of a mobile terminal within a predetermined period of time via a sensor
Data Source
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AI summary
Disclosed are a method and system for enabling a camera of a mobile terminal to automatically adapt to a scene. The method comprises the steps of: A: collecting, by means of a sensor, movement data of a mobile terminal in a preset time period; B: obtaining the number of times that a maximum value in the movement data exceeds a preset value; and C: analyzing a current movement scene of the mobile terminal according to the number of times, and automatically adjusting operation parameters of the camera according to the movement scene. In the present invention, without requiring frequent operations by a user, the user can rapidly and conveniently shoot a picture or video conforming to the current environment.