From advanced sorting to deep learning, TOMRA’s technologies are transforming how waste wood can be reused more efficiently in the panelboard industry.
The global wood recycling market is expanding rapidly, as manufacturers increasingly turn to waste wood to reduce exposure to price volatility and the limited availability of virgin raw materials.
Among the key innovations driving this shift is deep learning-based sorting technology. At TOMRA, these systems enable untreated wood to be separated from impurities, allowing waste wood to be recycled into new products for the building, construction and furniture sectors.
Jose Matas, head of waste emerging segments at TOMRA Recycling, discusses the company’s wood recycling solutions, the role of waste wood recycling in supporting the circular economy, and what the next generation of smart recycling plants could look like.
