With Recyco, a leading recycling and waste management company in Northern Ireland, AMP Robotics Corp, a pioneer in AI, robotics, and infrastructure for the waste and recycling industry, has installed its first AI-guided robotics systems in the United Kingdom and Ireland.
Gary Ashburner, European general manager for AMP, said, “We’re delighted to bring our first robots to the UK and Ireland as we continue to see strong demand for our AI and automation solutions and build our pipeline in Europe. Recyco has been a superb partner in this process and recognizes our technology addresses chronic staffing challenges it and many recyclers face while aligning with its goals of maximizing recovery, increasing landfill diversion, and advancing sustainability.”
Recyco’s fibre lines will benefit from two robots – one AMP Cortex™ unit and a tandem unit installed on the fibre lines as part of the quality control project to improve pick rates and bale purity. AMP’s newly appointed official UK and Ireland reseller and integrator, REP-TEC Advanced Technologies, has closed its first deal with Recyco, with several other projects being discussed.
Michael Cunningham, owner, and CEO, Recyco, said, “AMP’s robots have quickly doubled the pick rates we were accustomed to, maintaining and even improving the purity of our bales, which we depend on to maximize prices with our end-market buyers. We’re proud to be leading the way for AI-powered recycling in these islands and look forward to continued gains in productivity and efficiency.”
AMP’s proprietary technology applies computer vision and deep learning to steer robotic systems to precisely identify, differentiate from, and recover recyclables made up of different colors, sizes, shapes, opacities, and more from waste streams, all while collecting data. The sorting technology from AMP can pick up to 80 items per minute, about twice the speed of a human sorter, and the company has recorded up to 150 picks per minute with its tandem systems.
The company’s artificial intelligence (AI) platform allows it to quickly adapt to packaging introduced into the recycling stream with recognition capabilities down to the brand level recognition that has become increasingly critical as consumer-packaged goods companies commit to using post-consumer recycled content.
