NRT’s SpydIR technology uses near infrared light (NIR) detection to identify plastics, paper, wood and other materials by material type. Max-AI technology uses artificial intelligence (AI) to identify materials using a camera and neural network algorithm (NN).
BHS explained that the NRT SpydIR with Max-AI optical sorter employs both detection technologies to create an optical sorter that is able to combine the information from each technology to deliver a unique sorting capability.
In its initial installation at a Penn Waste recycling facility in York, Pennsylvania, Max-AI was integrated with a SpydIR unit that was designed to sort out paper at the pre-sort to a container line. The unit was seeing a significant quantity of steel cans with fiber labels which were being ejected by the optical unit.
Max-AI is able to identify these cans and suppressed the firing signal in the optical unit to prevent contamination in the fiber stream. Not only is Max-AI able to identify this material, but it is able to do so at speeds of 600 fpm on the optical feed belt. Thus, material quality increased dramatically as did the recovery of both fiber and ferrous cans.
“Competing in today’s recycling markets is tough,” said Penn Waste Director of Recycling Operations Tim Horkay. “Our investment in this new technology is immediately paying off with both higher purity of our fiber and greater recovery of steel cans. The two technologies complement each other well.”
NRT President Matthias Erdmannsdoerfer added: “Max-AI technology is remarkable in that it can detect multiple views of different material categories in one location using a camera and AI, similar to how a person can using his or her eyes and brain – the difference being Max can do this at very high speeds.”
“While our SpydIR line of optical sorters is fantastic at identifying materials very confidently at high volumes, it is limited to material composition analysis. Recyclers care about more than material type, and this is where Max comes in. We can now sort using the SpydIR’s speed and confidence while adding the criteria that Max is able to differentiate.”
“For example, in a PET sorting application, while the optical sorter identifies the material PET, Max is able to differentiate between different types of PET like thermoform tray, redemption container, food-grade, rigid, bottle and more. Thus, the customer is able to produce a product with increased value at a minimal additional expense without the need to add labor. It is among the most impactful innovations in optical sorting in recent memory,” he concluded.
VIDEO: Bulk Handling System’s CEO Steve Miller Explains Max-AI at IFAT 2018
Steve Miller, CEO at recycling technology firm Bulk Handling Systems spoke with Waste Management World about the company’s success with its recently launched Max AI platforms.
‘Slow Down To Get Around’ Bill Signed Into Law in Maryland
Maryland Governor Hogan is to sign a bill, Operation When Approaching Vehicle with Visual Signals, into law, making it the 18th state to pass the legislation.
MAX-AI from BHS Brings Next Generation Robotic Sorting to the Recycling Industry
Nashville, Tennessee based optical sorting equipment manufacturer, National Recycling Technologies, a part of BHS, has introduced its Max-AI technology - an artificial intelligence that identifies recyclables and other items for recovery.