Vehicle Audio System Custom Station via Metadata Scanning
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Solution Overview
Problem
Users face frustration in finding consistent audio content that matches their preferences while listening to broadcast stations, as existing systems lack the ability to create a customized audio channel efficiently, often requiring frequent station switching.
Innovation Solution
A vehicle-based computing system that scans and time-shifts broadcast audio content using metadata like genre or artist, utilizing multiple receivers to record matching content into a customized queue, and tunes to live stations when the queue is empty, leveraging services like the Music Genome Project for content matching.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users manually switch between broadcast stations to find preferred audio content, then they can access diverse content sources, but the operation becomes complex and time-consuming
Solution Approach 1:
The system automatically scans broadcast stations, captures preferred audio content, and manages the content queue without requiring manual user intervention for station switching. The processor autonomously performs content identification, matching, and queue management based on user preferences.
Solution Approach 2:
The system pre-scans broadcast stations and pre-populates a customized content queue with preferred audio content before the user needs to listen. This preliminary content gathering and organization eliminates the need for real-time station switching during playback.
2Reliability
If the system continuously scans and records broadcast content to maintain a customized queue, then content availability improves, but energy consumption increases
Solution Approach 1:
The system performs periodic scanning of broadcast stations rather than continuous monitoring. The processor schedules scan operations at intervals, capturing preferred content when available and entering low-power states between scans, thus maintaining content availability while reducing overall energy consumption.
Solution Approach 2:
The system maintains a pre-populated content queue that provides continuous playback capability without requiring continuous scanning. Once content is captured and stored in the queue, it can be played back continuously without additional energy-intensive scanning operations.
3Adaptability or versatility
If the system captures and stores audio content instances in a customized queue, then content customization improves, but device complexity increases
Solution Approach 1:
The system extracts only the preferred audio content instances from broadcast stations based on user preferences and metadata matching, storing only these selected content instances in the customized queue. This selective extraction approach simplifies the content management structure compared to storing all broadcast content.
Solution Approach 2:
The system creates simplified digital representations (copies) of broadcast content with associated metadata for matching purposes, rather than managing complex original broadcast signals. This copying approach enables efficient content identification and queue management with reduced system complexity.
Data Source
AI summary
A system may be configured to scan audio content providers, using at least one receiver, to identify metadata of audio content instances currently being broadcast by the audio content providers, capture audio content instances from the audio content providers, using the at least one receiver, when the metadata of the audio content instances matches desired content information, and add the captured audio content instances to a customized content queue of desired audio content. The system may also be configured to provide, to a content categorization server, user content preferences indicative of properties of audio content instances preferred by a user, receive, from the content categorization server, desired content information indicative of metadata of audio content instances preferred for experiencing by a user based on the user content preferences, and identify audio content instances broadcast from audio content providers as preferred based on the desired content information.