In a move to increase soft plastics recycling, engineering researchers at the University of Sydney are creating a smart, automated robotic system that uses artificial intelligence to sort recyclable waste.
Soft plastics lack adequate recycling methods because they easily entangle in waste-separation machinery, which often leads to mechanical failure and contamination of other recyclable materials such as paper. Because of this problem, current recycling methods rely on the manual sorting of soft plastics.
Despite an improvement in plastic recycling in recent years, landfill is a growing issue. Soft plastics like cling wrap and plastic bags are a major contributor to the problem, with 94% going to landfill in 2016–17.
Working alongside industry partners as part of a federal government Cooperative Research Centre Project grant, the research team from the university’s Centre for Internet of Things (IoT) and Telecommunications includes Professor Branka Vucetic, Professor Yonghui Li, Associate Professor Wanli Ouyang, Dr Wanchun Liu and Senior Technical Officer Dawei Tan from the School of Electrical and Information Engineering.
“The recycling robotic automation system will use artificial intelligence and computer vision to learn how to identify different forms of recycling waste, effectively learning how to ‘see’ and ‘sort’ waste, to create separate waste streams and maintain soft plastics’ purity so they can be recycled,” said Professor Vucetic.
“Soft plastics are a big contributor to landfill and have long been a challenge for the circular economy and waste management sector, as they have lacked an adequate and safe sorting method. Using the latest IoT techniques, we have created a custom robot to solve this issue,” Professor Li said.
Dr Liu added, “Between 2018 and 2019, Australia generated 2.5 million tonnes of plastic waste, which included soft plastics: only 9% was sent to recycling while 84% went to landfill. We aim to drastically switch those percentages by developing a solution that allows for most soft plastic waste being recycled.”
The researchers are working with IQRenew, CurbCycle, Licella, Mike Ritchie and Associates, and Resource Recovery Design to develop the system.
The system will be integrated into IQ Renew’s material recovery facility as part of CurbCycle’s soft plastic recovery program — an Australian initiative that involves the household collection of recyclables that are segregated into bags prior to placement in kerbside recycling bins.
“Not only does our project divert household soft plastics from going to landfill; by creating a solution for the collection and sorting of waste with our industry and research partners, we’re also creating a sustainable supply chain that takes rubbish from households to end markets,” Associate Professor Ouyang said.
“The robot will identify ‘CurbyTagged’ bags and differentiate sources of plastic, separating soft plastics from the fully co-mingled recyclables,” he said.
After being separated from other waste, the soft plastics will be used for various purposes, including advanced recycling into oils and other valuable chemicals using patented Catalytic Hydrothermal Reactor technology (Cat-HTR) created by Licella Holdings. Licella was founded by Professor Thomas Maschmeyer from the Faculty of Science alongside Licella CEO Dr Len Humphreys, and has been supported by the University of Sydney for 14 years.
“This highly innovative materials handling process can help extend the range of the Cat-HTR conversion technology to now include increasingly challenging waste streams, highlighting the benefit of close industrial and academic collaboration,” Professor Maschmeyer said.
Image caption: Professor Branka Vucetic, Dr Wanchun Liu, Dr Wanli Ouyang and Professor Yonghui Li. Image credit: University of Sydney.
