Institute of Food, Nutrition and HealthOpen OpportunitiesProblem:
Accurately estimating the weight of food items is a significant challenge in healthcare applications. While state-of-the-art 3D cameras can precisely measure food volume, the lack of datasets with labeled food densities remains a major obstacle for accurately determining food amounts.
Goal of the thesis:
The thesis aims to create a dataset that includes the volume, weight, and 3D scans of various food items using a state-of-the-art structured light camera. Due to the vast variety of foods, compiling a comprehensive dataset is impractical. Therefore, the project will also include training and testing a machine learning model to predict the densities of food items that were not seen during its training.
- Food Engineering, Food Processing, Health Information Systems (incl. Surveillance), Nutrition and Physiology
- Bachelor Thesis, ETH Zurich (ETHZ), Master Thesis, Semester Project
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