AI for Restaurants
Visual analytics incl. billing process and operations automation with AI
The goal of the project is to enable efficient visual analytics in restaurants (i.e. detect food types, recognize empty seats, etc.) and eventually automate the billing process and various operations. Project is part of the Euripides² project: EDISOHCS – Europe’s Dining Industry, Smarter Operations and Higher Customer Satisfaction project.
byteLAKE’s “AI for Restaurant” project is co-financed by the National Centre of Research and Development (NCBR) in Poland as part of the EUREKA 2019 competition. Amount of project co-financing by the NCBR: PLN 498 511.30 (EUR 109 437.85; May 15th, 2020).