Tomra: A deep learning application for wood classification-RECYCLING Magazine

2021-12-14 14:31:11 By : Mr. Mike Long

The company combined its Autosort technology with its deep learning-based sorting add-on, Gain, to create a solution that can distinguish and sort different types of wood materials, significantly improving the sorting and manufacturing process for customers.

The main application of Tomra Recycling's new solution is to combine wood A (unprocessed wood) with wood B (processed wood products, such as MDF (medium density fiberboard), HDF (high density fiberboard), oriented strand board (OSB) and particle board.

Tomra's X-Tract solution was quickly welcomed by particleboard manufacturers to produce clean recycled wood chips by sorting and separating inert materials (glass, stone, ceramics, etc.) and metals. Once the X-Tract device removes these impurities, the quality of the recovered wood chips is high enough to be used to produce standard particleboard.

However, in recent years, more and more customers have contacted Tomra Recycling, they hope to use higher purity recycled wood in the production process. In order to achieve these specific purity requirements, in addition to removing inert materials and metals from the feed stream, other impurities including engineered wood composites and polymers must also be removed.

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