In today’s paper, board, and tissue production, web breaks and a range of other substrate defects present a significant issue in all types of paper machines, coaters, and converting operations. Reducing breaks and paper defects is an important objective given the increasing speed and operating complexities of the present production environment.
ISRA Vision inspection systems are specialized not only to find all kind of surface defects but also to classify each defect using the latest AI based classification methods like deep learning and neural networks. But there is more: having this information available for the next production or finishing steps gets you closer to a full circular quality inspection system that helps to avoid surprises as all defects can be tracked down to their origin and in what process step it was created.
On May, 30th (11:00am EDT/5:00pm CET) ISRA VISION will take a deep dive into how inspection systems are specialized to not only find all kind of surface defects but also to classify each defect using the latest AI-based classification methods like deep learning and neural networks. When you have this information available for the next production or finishing steps, you get closer to a full circular quality inspection system that helps to avoid surprises as all defects can be tracked down to their origin and in what process step it was created. In addition, attendees will learn more about how inspection and extracting defined sections of produced products in any processing or treatment step will not only reduce waste and lower your carbon footprint, but will also increase the profit of anyone included in the value added chain.
To join this free-of-charge webinar – hosted by TAPPI – just follow this registration link or click n the image: http://tappi.informz.net/z/cjUucD9taT0xMTA4MTYyNiZwPTEmdT0xMTMzNDMyOTk2JmxpPTEwMjEzMzA4Mw/index.html
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