search.noResults

search.searching

saml.title
dataCollection.invalidEmail
note.createNoteMessage

search.noResults

search.searching

orderForm.title

orderForm.productCode
orderForm.description
orderForm.quantity
orderForm.itemPrice
orderForm.price
orderForm.totalPrice
orderForm.deliveryDetails.billingAddress
orderForm.deliveryDetails.deliveryAddress
orderForm.noItems
SORTATION | TECHNOLOGY


tion dataset of more than 3bn recyclable objects developed and iteratively refined by the company using real-world data. The proprietary high-speed AI algorithms translate images into 40-plus classes of objects with 95%-plus accuracy in 10-15 millisec- onds, said Ambati. “Within 12 milliseconds our AI software can classify what the objects are and can communicate with the robot sorter recovering the item,” said Ambati. Results from the AI software are used to program the robot sorter to pick the material accurately. The robotics software can be configured to prioritise specific sorting tasks. Everest labs developed small form factor


robotics with custom end effectors to maximise pick success. The low latency of the high-speed AI enables the RecycleOS cell to maintain a picking accuracy of 90% or better. The RecycleOS platform’s neural network is


iteratively refined for new classes of materials and learns to recognise an object even if it is partially covered by another object or mangled, crushed, cut in half, folded over or dirty, the company said. Caglia Environmental, an MRF in Fresno, Califor- nia installed a RecycleOS system and several robotic sorters onto its “last chance” line to improve PET recovery efficiency. The system allowed Caglia to identify and sort the PET in the waste stream into three specialised categories: PET bottles, PET thermoformed trays and pigmented/opaque PET. The RecycleOS system in place at Caglia has one vision system and three robotic sorters that sepa- rate each PET material into a fraction. RecycleOS can assist packaging manufacturers with data to optimise the recyclability of their


packaging. Data on material characterisation, recovery rates, bale/feedstock quality can be identified and tracked. The platform can generate reports on sustainability metrics such as green- house gas emissions, carbon reduction or energy consumption, and can convert recovered and diverted material into a commodity value.


CLICK ON THE LINKS FOR MORE INFORMATION: � www.tomra.com � www.sesotec.com � www.mssoptical.com � https://recycleye.com � https://global.canon � www.redwave.com � www.pellencst.com � www.amdsortex.com � www.ampsortation.com � www.everestlabs.ai


Above: Everest Labs’ Recy- cleOS platform combines AI with robotic sorting


SPREAD THE WORD


Let the world know about the good things your company is doing by advertising in Plastics


Recycling World magazine. Request the media pack to find out about our forthcoming features, global readership, and cost-effective advertisement packages. CLICK HERE TO DOWNLOAD


IMAGE: EVEREST LABS


Page 1  |  Page 2  |  Page 3  |  Page 4  |  Page 5  |  Page 6  |  Page 7  |  Page 8  |  Page 9  |  Page 10  |  Page 11  |  Page 12  |  Page 13  |  Page 14  |  Page 15  |  Page 16  |  Page 17  |  Page 18  |  Page 19  |  Page 20  |  Page 21  |  Page 22  |  Page 23  |  Page 24  |  Page 25  |  Page 26  |  Page 27  |  Page 28  |  Page 29  |  Page 30  |  Page 31  |  Page 32  |  Page 33  |  Page 34  |  Page 35  |  Page 36  |  Page 37  |  Page 38  |  Page 39  |  Page 40  |  Page 41  |  Page 42  |  Page 43  |  Page 44