How A2A uses 95%+ accurate waste data to maximise material recovery and purity
AI waste analytics gives Italy’s recycling and waste giant the clarity they need to sort more efficiently, and deliver purer products.
How data-driven sorting works
Learn how A2A use AI waste analytics to improve their sorting efficiency, and create more consistent recycled products.
“We’re now able to get composition analysis done in continuum, and in real time. We can create metrics and data sets that inform our decision-making on how to optimise our [waste] selection and sorting processes.”
Guglielmo Carra
Innovation Manager at A2A
Automated composition monitoring
To achieve that, they needed to increase their understanding of the hundreds of tonnes of material that run through their plants on a daily basis.
They use Greyparrot Analyzer to automate waste composition analysis at scale, giving them a better understanding of sorting efficiency and fluctuations in material purity.
“We needed AI-enabled machine vision to detect materials that current processes cannot. Greyparrot’s software gives us insight that is helping us maximise our material recovery and purity.”
Patrick Oungre
Head of Innovation at A2A
95%+ accurate sorting, guided by AI
Our pilot project with A2A began in 2020, and has since evolved into a long-term partnership:
- The A2A team installed our Analyzer Units in their facilities without having to adjust existing infrastructure.
- When comparing automated analytics to manual sorters, A2A found that AI was over 95% accurate, and a far more scalable way to gather waste data.
- Real-time insight into waste streams allows operations managers to make data-driven adjustments to their processes, and accurately report on product purity.
