Sensor-based technologies have become very popular in the past years as they add great value for process monitoring to Plastic Injection Moulding (PIM) industry and allow plastic converters to fulfil the high demanding market requirements in sectors of application such as medical, automotive, packaging and electronics.
PressNozz provides a novel CPS-based predictive system aiming at optimizing the production process and outperform current process control solutions allowing a reduction of scrap and energy consumption and an increase of productivity and flexibility.
PrezzNozz solution combines process monitoring sensors and advanced AI techniques to obtain accurate information about the process evolution and performances.
Thisexperiment has been supported under the first open call of BEinCPPS project.
Project:
Enterprises:
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Sector
Rubber & plastic
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