3D Image Capture System Power State Switching
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Solution Overview
Problem
Current 3D image capture systems are power-hungry, making them inefficient for real-time and mobile applications, and there is a need for methods to reduce power consumption without compromising the quality of captured data.
Innovation Solution
Implementing intelligent power state switching in 3D image capture systems, which allows them to operate in multiple power states based on detected triggers, such as motion, data quality, and battery level, using techniques like derived data processing and selective activation of sensors to minimize power usage while maintaining high-quality data capture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If 3D image capture systems operate in high power state continuously, then image quality and processing speed are maintained, but power consumption increases making the system unsuitable for mobile applications
Solution Approach 1:
The system dynamically switches between high power state and low power state based on operational conditions. The processor transitions from continuously processing 3D image data to selectively processing only when motion is detected or based on predetermined time intervals, thereby adapting power consumption to actual needs while maintaining image quality when required.
Solution Approach 2:
The system implements periodic processing by capturing 3D image data at predetermined time intervals rather than continuously. The processor alternates between active processing periods and idle periods, reducing overall power consumption while still maintaining adequate image quality through periodic updates at strategically chosen intervals.
2Duration of action of moving object
If 3D image capture systems reduce power consumption, then battery life extends for mobile applications, but processing speed and real-time performance degrade
Solution Approach 1:
The motion detection sensor autonomously monitors for motion without requiring full processor involvement. When motion is detected, the sensor triggers the processor to resume 3D image data processing, creating a self-regulating system that maintains real-time performance when needed while extending battery life during static periods.
Solution Approach 2:
The system changes the processing parameter from continuous high-speed processing to interval-based processing. By adjusting the frequency of processing operations based on motion detection events or predetermined time intervals, the system extends battery life while preserving the ability to achieve high processing speeds when motion is detected.
3Reliability
If 3D image capture systems use multiple sensors and processing techniques, then data quality and reliability improve, but device complexity and power consumption increase
Solution Approach 1:
The system segments the processing workload by separating motion detection (handled by a simple motion detection sensor) from 3D image data processing (handled by the processor). This segmentation allows the system to use multiple components for enhanced data quality while managing complexity by assigning specific functions to appropriate components, activating full processing only when motion is detected.
Data Source
AI summary
A method for reducing power consumption of a 3D image capture system includes capturing 3D image data with the 3D image capture system while the 3D image capture system is in a first power state, detecting a power state change trigger, and switching from the first power state to a second power state based on the power state change trigger, wherein the 3D image capture system consumes less power in the second power state than in the first power state.