Trusted by global leaders in waste management:
.png)
Greyparrot AI Waste Recognition System is deployed globally on moving conveyor belts in sorting facilities, to automate waste composition analysis to monitor, audit, and sort large waste flows at scale.
Measure material purity and recovery at scale. Give your customers the high quality product they expect, and have the data to back it up. Using Greyparrot AI, you’ll gain increased confidence in your product - allowing you to provide better quality at a higher price and avoid returns.
Manual spot sampling, though very common, is time consuming and inaccurate. EPR requires MRFs to increase manual sampling x16 which is manually hardly manageble. With Greyparrot, you reduce the reliance on guesswork by accessing automated composition information at scale and in real time.
Improve plant efficiency and up-time and save costs by taking proactive decisions for operational improvements and optimise facility parameters using accurate, real-time, composition data.
1. Monitor
The AI monitoring unit monitors 100% of your waste streams, recognising material composition, products and brands at scale.
2. Analyse
By automating waste analysis, Greyparrot increases the efficiency of your entire process - offering real, actionable insights into all areas of your facility.
3. Optimise
Many of the challenges faced by the resources and waste sector can be solved through an understanding and use of composition data to improve operations.
Greyparrot works with leaders in resources and waste management globally
“Thanks to Greyparrot we are able to get composition analysis done in continuum and in real time. Therefore we are able to create metrics that we can use to inform our decision-making on how to optimise our [waste] selection and sorting processes.”
.png)
"Our new bond with Greyparrot leads us towards innovation and helps us tackle one of the world’s current global issues – the waste crisis."
"Greyparrot has really helped us to define a method which is easy to implement. This allows us to gather a lot of valuable information from our sorting facilities and enhance our knowledge of packaging, sorting technologies and the sorting yield of the installation."
“We are excited to be part of these trials. We see many different types of plastics on our sorting facility, and we welcome the opportunity to be able to more efficiently identify and sort these for recycling.”
Speak to our team about your challenges, waste type and analysis needs today
Dive into Greyparrot's latest stories, industry news and knowledge articles on all things AI for waste, recycling, waste analytics, composition data, EPR and more.
Manual sampling covers a small proportion of processed waste, continuous monitoring through AI ensures a much better depiction of waste composition
Hannah Balacky • Apr 13, 2022
Greyparrot awarded £488,000 to develop a hybrid AI/NIR waste recognition system to provide automated and accurate recognition of plastics at scale
Alisa Pritchard • Mar 03, 2022
As an exciting and incredibly rewarding year draws to a close, here is a look back at 2021.
