TOMRA has provided wood sorting solutions since 2012. Relying on our speciality and with an investment of 8% of our revenues in R&D, we continuously develop and optimise our wood sorting solutions to support our partners and customers in meeting their recycling goals.
With today’s dynamic and demanding market, TOMRA have expanded its portfolio to offer a wood sorting solution to bring waste wood full circle, particularly with the X-TRACT sorting system for more than 10 years. X-TRACT is a sorting unit that sorts materials by their atomic density even at a high throughput of up to 30 metric tonnes per hour, regardless of material thickness. It removes impurities down to 5mm in size, preparing wood chips for further processing.
While the system excels at creating highpurity fractions of waste wood for energy recovery, an additional technology is required to sort recycled wood materials by type for the wood-based panel industry. Therefore, our in-house team of software engineers and application specialists have developed our new deep learning-based application for wood.
GAIN, an add-on for our AUTOSORT units, uses artificial neural networks trained with thousands of images to separate non-processed and processed wood. It also enables plant operators to define different combinations of materials they want to sort, giving them more flexibility and a future-forward solution.
Developing the right recipe
Deep learning technologies are becoming a decisive element in the entire recycling sector. To date, this technology is still in its infancy but provides greater flexibility to waste wood processors who can go beyond recovering non-processed wood from processed wood. Another sorting task that will increasingly gain importance is the recovery and subsequent recycling of MDF.
The sorting options and material combinations that deep learning offers are endless. Today, an extensive product portfolio of sorting equipment and technologies already exists to meet future demands.