Sensor Data Recognition Processing for Mobile Battery Conservation
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Solution Overview
Problem
Mobile devices, such as smartphones, face significant battery drain when processing camera and microphone data for recognition tasks, limiting their ability to perform ongoing analysis due to high battery consumption.
Innovation Solution
A system comprising a sensor, content data processing module, and sensor marshal module that assesses the likelihood of successful recognition processing with low-intensity operations and strategically invokes higher-intensity extraction operations, considering factors like detection history, camera motion, processing budget, and image quality to optimize battery usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If recognition processing is performed on every frame of camera data, then recognition accuracy is improved, but battery consumption increases excessively
Solution Approach 1:
The system performs preliminary assessment operations on camera frames before committing to full recognition processing. The assessment module evaluates each frame to determine if it contains recognizable content, and only frames that pass this preliminary assessment are subjected to intensive recognition processing. This preliminary filtering action prevents unnecessary processing of non-recognizable frames, significantly reducing battery consumption while maintaining recognition accuracy for valid targets.
2Productivity
If recognition processing is performed continuously on all sensor data, then recognition capability is improved, but device complexity increases
Solution Approach 1:
The recognition system is segmented into distinct functional modules: an assessment module that performs preliminary evaluation, a marshal module that manages processing resources and coordinates operations, and recognition modules that perform actual recognition tasks. This segmentation allows the system to activate only the necessary modules based on assessment results, reducing overall processing complexity while maintaining comprehensive recognition capability across multiple frame types and recognition tasks.
Data Source
AI summary
Mobile devices, such as smartphones, are severely battery-limited. The capabilities of mobile device processors have increased at exponential rates, but battery technologies have improved at much slower rates. As a consequence, it is ever more important that mobile devices be operated in battery-preserving manners. An aspect of the present technology concerns methods and arrangements enabling on-going recognition-processing of imagery and audio by different detectors, without the high battery drain that has characterized the prior art. A variety of other features and arrangements are also detailed.