| KEYWORD |
Visual Recognition Techniques for Quality Control in the Secondary Agri-Food Industry
keywords ARTIFICIAL INTELLIGENCE, ARTIFICIAL VISION, MANUFACTURING PROCESSES, PROCESS CONTROL, QUALITY CONTROL, SECONDARY AGRI-FOOD INDUSTRY
Reference persons MAURIZIO GALETTO, ELISA VERNA
Research Groups Ingegneria della qualità
Thesis type RESEARCH
Description The work focuses on the bibliographic survey of visual recognition techniques used in the secondary agri-food industry, specifically in the processing of beef and pork, dairy products and fruit. The use of machine vision techniques for the quality control of transformation processes, finished and semi-finished products is analysed, exploring the different areas of application, advantages and disadvantages, and presenting a taxonomy of the available techniques.
Required skills QUALITY ENGINEERING, PRODUCTION PROCESS MANAGEMENT, PRODUCTION PLANNING, ARTIFICIAL VISION, ARTIFICIAL INTELLIGENCE
Deadline 31/03/2024
PROPONI LA TUA CANDIDATURA