TAPPI will host a webinar this month on the use of deep learning to support efficiency and reduce expenses in papermills.
Fully integrated papermills incur great expense in making the raw material wood chips that are used to make paper, and chips that are the wrong size can greatly impede the paper-making process. Camera-based imaging with deep learning (AI) is now being used to classify wood chip thickness on the conveyer line in real time. The TAPPI webinar will explore this technology, describing real world applications in the pulp and paper industry for image based learning, and explaining how variances in the wood yard can affect the final product in the paper-making process.
“How Deep Learning is Used to Determine Woodyard Chip Size” will be held on May 19 from 2-3 pm. Learn more and register at no cost on TAPPI’s website.