Context: This bachelor thesis will be conducted with datum.coffee, a hardware and software startup in Innsbruck developing a coffee machine with grinder that combines intuitive operation with barista-level espresso quality, complemented by an open platform and app for automatically finding optimal brew and grind parameters per coffee bean.
Goal: Research, design, and prototype a camera-based AI solution that recognizes coffee bean packages, extracts relevant packaging information, and matches the extracted data against a database to identify the coffee and retrieve corresponding brewing and grinding profiles.
Work Packages:
Thesis PDF: KI-gestützte Erkennung von Kaffeebohnenpackungen