food quality assessment

TrentinGrana

The project aims at developing an automatic visual recognition system to estimate the rind thickness of TrentinGrana wheels of cheese.

Rind thickness is very important for the commercial selection of the Grana cheese and is commonly considered to evaluate its quality, together with other sensory features. Such assessment is usually performed by committees of experts, that make use of their training and expertise to judge the wheels of cheese. The procedure followed is however time consuming and expensive. Hence, the development of an algorithm based on computer vision for automatic rind thickness evaluation plays a crucial role in optimizing the costs of the Grana quality assessment procedure. 

Duration: from September 2022 to December 2022 (4m)

Partners: 

Contact: Stefano Messelodi (messelod@fbk.eu)

Team: Andrea Caraffa, Michela Lecca, Carla Maria Modena, Stefano Messelodi

publication

A. Caraffa, M. Ricci, M. Lecca, C.M. Modena, E. Aprea, F. Gasperi and S. Messelodi. A Deep Learning Approach for Estimating the Rind Thickness of Trentingrana Cheese from Images. 3rd International Conference on Image Processing and Vision Engineering - IMPROVE, April 2023