New solutions to control robotic environments: quality control in food packaging
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Machine vision systems and artificial intelligence techniques are two active research areas
in the context of Industry 4.0. Their combination allows the reproduction of human
procedures while improving the performance of the processes. However, to achieve the
desired full automation, there is a need for new applications able to cover as many
industrial scenarios and processes as possible. One of the areas that needs further research
and development is the quality control of food packaging, and more specifically
in the closure and sealing control of thermoforming packages. The shortcomings in this
area were detected by TAVIL who, in collaboration with GILAB, proposed an Industrial
Doctorate to investigate, develop and integrate in real scenarios new methods to
improve the packaging stage of the food industry by using machine vision systems and
artificial intelligence techniques. In the context of this Industrial Doctorate, two focuses
of research were defined that differ at the level at which the problem is studied. The
first focused on the quality control of food packages, and the second on the efficient
management of machine vision systems in industrial scenarios
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