The Classyfier is a table developed at the Copenhagen Institute of Interaction that detects the beverages people consume around it and chooses music that fits the situation accordingly. A built in microphone catches characteristic sounds and then compares these sounds to a catalogue of pre-trained examples.
The Classyfier identifies it as belonging to one of three classes; hot beverages, wine or beer. Each class has its own playlist that one can navigate through by knocking on the table.
The idea behind this project was to build a smart object that uses machine learning and naturally occurring sounds as input to enhance the ambiance of different situations.
Deep neural networks and machine-learning are key players of artificial intelligence. They are simulating basic information processing of the brain and are more and more used in many products.