Context-Based Object Tracking Mode Switching for Lower Power Use
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Solution Overview
Problem
Continuous image analysis for object tracking consumes significant power and computing resources, necessitating more efficient methods to manage power and resource usage.
Innovation Solution
A computing system transitions between modes based on audio and motion sensor data criteria, reducing unnecessary image processing and optimizing resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If continuous image analysis is performed for object tracking, then tracking reliability is improved, but power consumption and computing resource usage increase
Solution Approach 1:
The system dynamically transitions between two operational modes: a first mode that performs continuous image analysis for reliable object tracking, and a second mode that reduces image analysis frequency to conserve power. The system adapts between these modes based on whether the computing system is portable or stationary, optimizing the balance between tracking reliability and power consumption for each scenario
Solution Approach 2:
The system changes operational parameters by adjusting the image analysis frequency and processing intensity based on the computing system's portability status. When identified as portable, the system reduces image ingestion rate and processing frequency; when stationary, it maintains higher analysis frequency for improved tracking performance
2Measurement precision
If continuous image analysis is performed for object tracking, then tracking precision is improved, but computing resource usage increases
Solution Approach 1:
The system performs partial image analysis by selectively ingesting and processing only certain image frames rather than analyzing every frame continuously. This partial action approach maintains adequate tracking precision while significantly reducing computing resource requirements, especially in portable mode where image ingestion occurs at a lower frequency
3Duration of action of moving object
If the computing system operates in high-power mode for continuous tracking, then tracking duration is improved, but power consumption increases
Solution Approach 1:
The system implements periodic image analysis instead of continuous analysis by transitioning to a second mode with reduced image ingestion rate when in portable configuration. This periodic approach extends battery-powered operation duration while maintaining intermittent object tracking capability, balancing tracking duration with power conservation
Data Source
AI summary
In some implementation, a method includes: while operating according to a first mode, obtaining audio data associated with a physical environment and motion sensor data; determining whether at least one of the audio data and the motion sensor data satisfies a mode transition criterion; in response to determining that at least one of the audio data and the motion sensor data satisfies the mode transition criterion, transitioning the computing system from the first mode to a second mode; and while operating according to the second mode: obtaining image frames of the physical environment based on an image frame ingestion rate; determining a current location for an enrolled object by performing a set of image processing functions on the image frames; and updating a record for the enrolled object to include the current location.