Quality control systems are the main application field for machine vision systems..
This type of systems are suitable for the companies that want to innovate and bring their production processes into the fourth industrial revolution.
Introducing automated systems for quality control becomes a fundamental step.
Artificial vision systems drastically reduce the time needed for inspection and quality control, allowing to speed up production and increase profits.
With high resolution cameras, scanners and sensors it is possible to obtain high precision measurements and quality controls which is highly impractical by a human operator.
The operator cannot always guarantee constant quality control due to distractions and tiredness. Furthermore, there is a subjective component in the evaluation where the same piece could be rejected by two different operators.
It is not always possible to carry out quality controls: either because the spaces are too narrow, or because they are too dangerous. The vision systems have small dimensions and can be applied even in the most hostile environments.
Processing of statistics on rejects and type of defects to visualize the problems related to the production line and understand the defects in production.
Saving of the history of the images and acquisitions of the pieces produced in order to be able to validate or contest any non-conformities.
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