AI-Powered System Promises Personalized Espresso, Reduced Waste
CAMERINO, ITALY – A collaborative project between the University of Camerino (Unicam) and Simonelli Group is poised to revolutionize espresso readiness with ”InSiliCoffee,” a system leveraging artificial intelligence to create tailor-made coffee experiences. The technology utilizes two digital twins – virtually replicating the roasting and percolation processes – and an artificial neural network to optimize extraction parameters based on individual customer preferences.
InSiliCoffee accounts for variables including coffee grain size, water pressure, temperature, and extraction time. the software “learns” to prepare the perfect coffee for each user, with future applications envisioned as a personalized “coffee Spotify,” saving and recalling individual extraction profiles.
The project builds upon existing patents, including the Customizable Coffee Dispensing System, and represents a multi-disciplinary effort involving mathematicians, computer scientists, geologists, chemists, biologists, and technicians.
Beyond personalization, InSiliCoffee aims to improve sustainability by optimizing resource use and reducing waste in the coffee extraction process.”Optimizing extraction parameters means reducing waste of raw materials and optimizing the use of energy resources,” the article states.
“The project demonstrates how scientific research can translate into concrete innovation for the local production fabric,” said Graziano Leoni,rector of Unicam. The innovation is expected to drive the next evolution of Italian espresso from the Marche region,a hub for coffee machine manufacturing.
