HARTSVILLE, S.C., Sept. 07, 2021-- Sonoco(NYSE: SON) announced today it has partnered with AMP Robotics, a pioneer in AI, robotics and infrastructure for the waste and recycling industry, to create a new material category within AMP’s neural network specific to rigid paperboard cans.
The use of recycled steel has a 45% lower environmental impact than producing the equivalent amount from virgin material, reducing the need to mine for virgin iron ore. Additionally, when compared to landfilling, recycling the paper container with steel bottom through the steel or other streams has a greater than 40% lower environmental impact than landfilling. Any materials recovery facility with an AMP Cortex™ intelligent robotics system can now accurately and efficiently sort Sonoco’s paper can to the desired stream.
“Sonoco is uniquely positioned as a leading recycler to help deliver end-of-life solutions across our consumer and industrial packaging platforms,” said
“Our AI is unique in its strength, precision and flexibility to learn new packaging to the specificity of a manufacturer or brand, and
AMP’s AI platform, AMP Neuron™, encompasses the largest known real-world dataset of recyclable materials for machine learning. With an object recognition rate of more than 10 billion items annually, the company can classify more than 100 different categories and characteristics of recyclables across single-stream recycling, e-scrap and construction and demolition debris. In the U.S., AMP has successfully demonstrated the high-frequency recognition of steel-bottomed paper canisters and updated its software to enable platform-wide recognition of the material for sortation into any target stream.
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About AMP Robotics™ Corp.
AMP Robotics is modernizing the world’s recycling infrastructure by applying AI and automation to increase recycling rates and economically recover recyclables reclaimed as raw materials for the global supply chain. The AMP Cortex™ high-speed robotics system automates the identification and sorting of recyclables from mixed material streams. The AMP Neuron™ AI platform continuously trains itself by recognizing different colors, textures, shapes, sizes, patterns, and even brand labels to identify materials and their recyclability. Neuron then guides robots to pick and place the material to be recycled. Designed to run 24/7, all of this happens at superhuman speed with extremely high accuracy. AMP Clarity™ provides data and material characterization on what recyclables are captured and missed, helping recycling businesses and producers maximize recovery. With deployments across