Engineering researchers from the University of Sydney are developing a unique method to increase the recycling of soft plastics by creating a smart robot that uses AI to identify, sort and separate different types of recyclable waste.
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 per cent going to landfill in 2016-17.
Soft plastics lack adequate recycling methods as they easily entangle in waste separation machinery, leading 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, an often repetitive and unsafe task.
Working alongside industry partners as part of a federal government Cooperative Research Centre Project grant, researchers from the Centre for Internet of Things (IoT) and Telecommunications at the University of Sydney are developing a unique method to increase recycling of soft plastics – by creating a smart, automated robotic system that uses and AI to sort recyclable waste.
The team 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,” Professor Vucetic said.
“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.
“Between 2018 and 2019, Australia generated 2.5 million tonnes of plastic waste, which included soft plastics: only 9 per cent was sent to recycling while 84 per cent went to landfill,” Dr Liu added.
“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 waste management companies, IQRenew and CurbCycle, technology developers 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 placing them into their kerbside recycling bin.
“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.”
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.
