Recent Trends in Computer Vision for Cheese Quality Evaluation

Abstract

A review of current trends in CVSs (computer vision systems) regarding hardware and software components, in the context of cheese quality evaluation, is presented in this paper, and some directions for future development in the field are discussed. The application of methods of computer vision for evaluating the quality indicators of different types of cheese is explored in detail regarding systems for data gathering and algorithms for their processing. We discuss opportunities for the usage of advancements in AI (artificial intelligence) for a fast and effective quality control of food production. Modern computer-based concepts are viewed in the context of food quality control such as CAFE (computer-aided food engineering) and digital twins. Methods for further enhancement of the quality of human life are highlighted in the context of sustainability related to contemporary computer-based technologies.

Keywords

• computer vision
• cheese quality
• image processing
• non-destructive
• ultrasound
• NIR