Wednesday, February 21, 2024
Listen to this news
|
One of the leading gamechanger in sorting solutions – TOMRA has recently collaborated with pioneering waste analysis PolyPerception to broaden their strategic AI alliance. TOMRA is renowned for being the leader of sorting solution and now they have strengthen their position in the field of artificial intelligence by acquiring a 25 percent stake in PolyPerception.
PolyPerception is a promising start-up company offering AI-based waste flow monitoring.
Dr. Volker Rehrmann, Head of TOMRA Recycling, said: “By expanding our cooperation with PolyPerception, we can combine our advanced material sorting systems and cloud-based monitoring solution with the company’s innovative material analysis. This synergy enables us to enhance the optimization of the entire process and material flow, providing a significant advantage to our customers. Plus, it now allows us to harness PolyPerceptions’ data and AI expertise for continued enhancements to our machinery.”
Leading collection and sorting solutions provider TOMRA further strengthens its position in the field of artificial intelligence by acquiring a 25 percent stake in PolyPerception, a pioneering start-up offering AI-based waste flow monitoring. TOMRA began a collaboration with PolyPerception in December 2022, and this investment in the company is another step in TOMRA’s journey to transform resource recovery with the latest technology.
TOMRA is a high performer who delivers deep learning-based sorting technology and it has been a gamechanger in seperating untreated wood from impurities. By sorting solid wood from wood-based materials (chipboard, plywood, MDF) into individual fractions, waste wood can be optimally recycled into new products. As the first in the market to offer deep learning to enable the material recycling of waste wood, their sorting technology helps one create new high-value revenue streams.
Read more news on: TOMRA
Tags: acquisition, ARTIFICIAL INTELLIGENCE, TOMRA, wood, wood and panel, woodworking industry
Comments: