Sonoco has partnered with AMP Robotics to create a new material category within AMP's neural network specific to rigid paperboard cans. The U.S. partnership will result in increased recycling rates for the spiral wound paper canister with steel bottom produced by Sonoco and other manufacturers.
The use of recycled steel has a 45 percent 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 percent 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.
AMP's AI platform, AMP Neuron, encompasses a 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.
