Location-Based Audio Presets Using Mobile Image Recognition
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Solution Overview
Problem
Hearing aids and other auditory devices require manual adjustment of settings to match the acoustic conditions of a new location, which can be cumbersome for users changing locations.
Innovation Solution
A computer-implemented method using a machine-learning model to identify locations based on images captured by a mobile device's camera, generating an audio preset to automatically adjust sound settings, and instructing users to capture additional images if necessary to determine the location.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If manual adjustment of auditory device settings is used, then the device can be controlled, but the ease of operation deteriorates when users change locations
Solution Approach 1:
The system automatically detects the user's location using image recognition and GPS data, and autonomously selects and applies the appropriate audio preset without requiring manual user intervention. The auditory device self-adjusts settings based on environmental context, eliminating the need for users to manually change settings when moving between locations.
Solution Approach 2:
The patent replaces manual mechanical adjustment of audio settings with an automated computer vision system that uses machine learning models to recognize locations and trigger corresponding audio presets. The system substitutes human decision-making and manual control with automated image processing and algorithmic preset selection.
2Ease of operation
If automated location-based audio preset selection is implemented, then ease of operation improves, but device complexity increases
Solution Approach 1:
The system uses a multi-functional mobile device that serves both as a camera for capturing location images and as a processing unit for running machine learning models. The same device also provides GPS location data and communicates with the auditory device, consolidating multiple functions into a single universal platform rather than requiring dedicated hardware for each function.
Solution Approach 2:
The patent introduces a mobile device as an intermediary between the user and the auditory device. The mobile device handles the complex tasks of image capture, location recognition, and preset selection, then communicates the result to the auditory device. This intermediary absorbs the complexity, keeping the auditory device itself relatively simple while still achieving automated functionality.
3Measurement precision
If multiple images are captured to ensure accurate location identification, then measurement precision improves, but loss of time increases
Solution Approach 1:
The system captures multiple images in rapid succession before the user fully settles into a new location, ensuring that at least one image captures the distinctive features of the location. By taking preliminary images during the transition period, the system increases the likelihood of accurate location identification without requiring the user to stop and deliberately pose for photos.
Solution Approach 2:
The image capture process continues continuously as the user moves through different locations, with the system constantly analyzing incoming images to detect location changes. This continuous action ensures that location identification is performed at the optimal moment without interrupting the user's natural movement or requiring deliberate pauses for photo capture.
Data Source
AI summary
A computer-implemented method includes receiving an image at a location from a camera associated with a mobile device. The method further includes providing the image as input to a machine-learning model, wherein the machine-learning model is trained to identify locations associated with input images. The method further includes determining that the machine-learning model did not identify a location associated with the first image. The method further includes generating, with the machine-learning model, an audio preset. The method further includes transmitting the first audio preset to an auditory device, wherein the auditory device uses the audio preset to modify sounds at the location.