Table Chooses Music Based On What You’re Drinking
The device uses machine learning to improve the atmosphere during various social situations
The Classyfier, a smart table created by Benedict Hubener, Stephanie Lee and Kelvyn Marte at the Copenhagen Institute of Interaction Design, can figure out what you and your friends are drinking and choose a playlist designed to enhance the mood of your gathering.
The table has a built-in microphone that picks up on surrounding sounds and matches those sounds against a catalog of possibilities. Whether the beverages it detects are wine, beer or hot drinks, the Classyfier will choose a particular playlist suited to the situation.
If you don’t like a song the table chooses, simply knock on it to skip to the next track. The goal of the project was to build a device that is capable of using machine learning to identify sounds and react appropriately.