Smart Glasses Motion-Triggered Image Analysis for Lower Power
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Solution Overview
Problem
Smart glasses devices face significant computational and power consumption burdens due to continuous image analysis, which reduces efficiency and user experience.
Innovation Solution
The device incorporates an inertial measurement unit to generate inertial sensing data, allowing it to selectively capture and analyze only relevant images based on user head movements, reducing the need for continuous image capture and analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the smart glasses device continuously captures and analyzes all real-time images, then the image analysis accuracy and completeness is improved, but the computational burden and power consumption increases significantly
Solution Approach 1:
The patent segments the image analysis process by dividing images into groups based on time intervals and selecting only representative images from each group for analysis. Instead of analyzing all continuous images, the system divides the image stream into segments and processes only key frames, thereby reducing computational load and power consumption while maintaining analysis accuracy.
Solution Approach 2:
The patent applies partial action by analyzing only a subset of images (representative images selected from image groups) rather than all images. This selective analysis approach reduces the volume of data processed while still capturing essential visual information, thereby lowering power consumption without significantly compromising analysis completeness.
2Loss of information
If the smart glasses device captures and analyzes all real-time images, then the completeness of visual information is improved, but the computational resources are excessively consumed
Solution Approach 1:
The system segments the continuous image stream into discrete groups based on time intervals and selects representative images from each group. This segmentation reduces the total number of images requiring computational analysis while preserving key visual information, thereby reducing device complexity and computational resource requirements.
Solution Approach 2:
The patent extracts only the essential representative images from each image group for analysis, leaving out redundant images. This extraction process removes unnecessary computational burden while retaining the core visual information needed for accurate analysis, thus reducing device complexity without significant information loss.
3Measurement precision
If the smart glasses device analyzes all real-time images through the image analysis model, then the analysis accuracy is improved, but the processing time and efficiency decrease
Solution Approach 1:
The patent implements segmentation by dividing the image analysis task into manageable units (image groups) and processing only representative images from each group. This segmented approach reduces the total number of images requiring model analysis, thereby improving processing efficiency while maintaining analysis accuracy through selective sampling of key frames.
Solution Approach 2:
The system applies partial action by analyzing only a portion of the captured images (representative images) rather than all images. This selective analysis reduces processing time and improves efficiency while still achieving accurate results by focusing computational resources on the most informative images.
4Loss of information
If the smart glasses device processes a large number of real-time images, then the comprehensiveness of analysis is improved, but the device power consumption increases
Solution Approach 1:
The patent segments the image processing workload by organizing images into time-based groups and selecting representative images from each group for analysis. This segmentation reduces the total number of images processed, thereby reducing power consumption while maintaining analysis comprehensiveness through strategic selection of key representative frames.
Solution Approach 2:
The system applies partial action by processing only a subset of images (representative images selected from groups) rather than all captured images. This approach reduces energy consumption significantly while preserving analysis comprehensiveness by ensuring that representative samples from each time interval are analyzed.
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
This approach reduces computational and power consumption, improving user experience by efficiently generating response instructions without analyzing all real-time images, thus enhancing the device's operational efficiency and service quality.
Implementation Method 1
The inertial measurement unit is configured to generate a plurality of inertial sensing data
Data Source
AI summary
A smart glasses device and a response instruction generating method are provided. In response to receiving a startup instruction, the device activates an image capturing device to capture at least one real-time image in a first time interval. The device determines a target image set from the at least one real-time image based on an amplitude change of a plurality of inertial sensing data corresponding to a second time interval. The device generates a response instruction based on an analysis result corresponding to the target image set, and the analysis result is generated based on a voice prompt corresponding to a user.