ePrints.FRI - University of Ljubljana, Faculty of Computer and Information Science

Use of deep learning in kitchen appliances to aid food preparation

Marko Novak (2019) Use of deep learning in kitchen appliances to aid food preparation. EngD thesis.

Download (7Mb)


    Rapid development of embedded systems in recent years allows us to integrate powerful processing units in most electronic devices. Food preparation is one such field, where technology can ease everyday chores, and help us achieve better results. We've tried out various ways to use a camera in combination with artificial neural networks to control kitchen mixer when making whipped cream. First we made several recordings of cream during mixing. We've labelled each frame according to how well-mixed the cream is. We show some higher-importance neural networks for image analysis (AlexNet, MobileNet, NasNet) and test how well those neural networks perform after being trained on our dataset. Our results indicate that such neural networks are able to give an accurate prediction, even on photos captured under different conditions than the training data.

    Item Type: Thesis (EngD thesis)
    Keywords: artificial neural networks, deep learning, kitchen appliances, image analysis, cream
    Number of Pages: 52
    Language of Content: Slovenian
    Mentor / Comentors:
    Name and SurnameIDFunction
    prof. dr. Igor Kononenko237Mentor
    izr. prof. dr. Matjaž Kukar267Comentor
    Link to COBISS: http://www.cobiss.si/scripts/cobiss?command=search&base=51012&select=(ID=1538143683)
    Institution: University of Ljubljana
    Department: Faculty of Computer and Information Science
    Item ID: 4350
    Date Deposited: 11 Feb 2019 15:35
    Last Modified: 04 Mar 2019 14:11
    URI: http://eprints.fri.uni-lj.si/id/eprint/4350

    Actions (login required)

    View Item