Audio Visualizer Eyewear Neural Network Overlay Power Optimization
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Solution Overview
Problem
Current wearable devices, such as smart glasses, lack an effective method to visually present audio information in a seamless and power-efficient manner, often requiring significant processing resources and battery life.
Innovation Solution
The integration of a visible light camera and audio processor within eyewear devices that capture images and audio signals, using neural network programming to create overlay images responsive to audio parameters, displayed through see-through optical assemblies, optimizing power consumption through adjustable capture intervals and ambient light sensing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If audio information is visually presented through overlay images in real-time, then user experience and engagement are improved, but power consumption and processing resource requirements increase
Solution Approach 1:
The system implements periodic action by capturing images at adjustable intervals rather than continuously, and by updating overlay images only when necessary based on audio parameter changes. This reduces processing load and power consumption while maintaining effective audio visualization, directly addressing the contradiction between user experience and power usage.
2Reliability
If continuous image capture and processing is performed to maintain high-quality audio visualization, then visual presentation quality is improved, but battery life is reduced
Solution Approach 1:
The system applies dynamics by making the capture interval adjustable and adaptive rather than fixed. The processing frequency can be dynamically modified based on ambient light conditions, user activity, and audio content characteristics, allowing the system to maintain visual quality when needed while conserving battery life during normal operation.
3Speed
If processing is performed at high frequency to respond to audio changes, then audio visualization responsiveness is improved, but energy consumption increases
Solution Approach 1:
The system utilizes parameter changes by adjusting the image capture interval and processing frequency based on ambient light levels and audio characteristics. In low-light conditions or when audio changes are subtle, processing frequency is reduced to save energy. When audio events are prominent or ambient light suggests active viewing, processing frequency increases to maintain responsiveness, thus resolving the contradiction between speed and energy consumption.
Data Source
AI summary
System, method, and non-transitory computer readable medium for presenting audio-based visual overlays on see-through optical assemblies. Overlays are presented by capturing, via a camera of an eyewear device, initial images of a scene, receiving an audio signal, modifying the initial images responsive to the audio signal to create overlay images, and displaying, via a see-through optical assembly of the eyewear device, the overlay images to a wearer of the eyewear device over the scene in a viewing area of the eyewear device.


