TOMRA is the first company in the world to use deep learning technology to detect and separate different wood types, targeting Wood B (processed wood composites) as impurities to leave a clean Wood A fraction (non-processed wood), or, depending on customers’ requirement, producing individual high purity engineered wood composite fractions out of the infeed stream.
Philipp Knopp, Product Manager at TOMRA Recycling, comments: “Wood recycling is a fast-evolving market, with increasingly stringent legislation being introduced in a number of regions globally to move towards a more circular economy model. Our AUTOSORT® with GAIN solution uses deep learning technology to create a robust and flexible solution which we are confident will be welcomed by wood good producers across to globe. It will also enable our customers to future-proof their operations as they will be better equipped to adapt and react to any future changes in the global wood recycling market such as new legislation. We are delighted to be the first in the market to offer this artificial intelligence-based solution.”