Wireless Audio Playlist Automation via Listener Image Recognition
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Solution Overview
Problem
Existing wireless audio systems do not efficiently create playlists that cater to the diverse musical preferences of multiple listeners in different rooms, resulting in a heavy workload for users.
Innovation Solution
Implementing image recognition processing to generate listener information from picked-up image data, which is used to select music genres and create playlists, thereby automating the playlist creation process by associating facial expressions, age groups, and gender ratios with specific music genres.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If manual playlist creation is used to select music data that satisfies all listeners, then music playback can be customized for each room, but user workload becomes heavy and time-consuming
Solution Approach 1:
The system performs self-service by automatically creating playlists based on image recognition of listeners. The playlist creation device acquires picked-up image data, performs image recognition to generate listener information, and automatically creates playlists without requiring manual user intervention for each playback session.
Solution Approach 2:
The patent replaces the mechanical manual process of playlist creation with an automated image recognition system. Instead of manually selecting music data, the system uses picked-up image data acquisition means and listener information generation means to automatically determine appropriate playlists based on listener characteristics.
2Measurement precision
If manual playlist creation is performed from enormous amounts of music data, then accurate music selection can be achieved, but user effort and complexity increase significantly
Solution Approach 1:
The system extracts only the necessary information for playlist creation by using image recognition to generate listener information from picked-up image data. This extraction approach focuses on acquiring relevant listener characteristics (facial expressions, age groups, gender) without requiring manual review of the entire music library or complex user input.
Solution Approach 2:
The patent introduces listener information as an intermediary between the music data and the playlist creation process. The listener information generation means creates an intermediate representation from image data that mediates the selection process, simplifying the complexity by using this intermediate data structure rather than direct manual selection from enormous music data.
3Ease of operation
If automated playlist creation is implemented, then user workload is reduced, but the system requires image recognition processing and associated infrastructure
Solution Approach 1:
The playlist creation device is designed with multi-functionality, combining picked-up image data acquisition means, listener information generation means, and music list acquisition means into a single integrated system. This universal device can perform multiple functions (image capture, recognition, playlist creation) that would otherwise require separate systems, reducing overall infrastructure complexity.
Data Source
AI summary
[Problem] To reduce user's workload when preparing a playlist. [Solution] A playlist preparation terminal 2 carries out face recognition processes on the image data of listeners captured for each room from a room A to a room C, and generates listener information including the atmosphere, age group, and a male-to-female ratio of a listener group made up of the listeners captured in the image data. The playlist preparation terminal 2 then prepares a playlist by selecting music data from among music data belonging to the genre information preliminarily associated with the listener information, and multicasts the playlist together with the designation data for the wireless speakers 1-1 to 1-3 from which to output music. As a result, the playlist preparation terminal 2 allows the wireless speakers 1-1 to 1-3 from which to output the music to reproduce the music data according to the playlist and output the music.