Meet the Greyparrot AI Waste Analytics System

Our AI-powered computer vision system has analysed over ten billion packaging items in sorting plants around the world. The result? Actionable insights that unlock the full financial value of waste.

Accessible, customisable and powerful: Act on insights with the Waste Analytics Dashboard

The insight you’ve always wanted lives on the dashboard. We built it to help you make data-driven decisions, no matter your experience with tech.

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Flexible parameters

Access real-time and historical data analysis at a minute-by-minute level.

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Custom alerts

Receive automated notifications based on custom triggers like quality drops.

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Mass estimation

Measure and track the size of waste streams by item count or mass.

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Integrations

Manage integrations with plant control systems and sorting machinery, right from the dashboard.

Reports and export
Reports and exports

Generate daily, weekly, monthly or yearly reports, and export data to run further analysis.

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Customisable

Tailor your dashboard to surface the insights you need most.

How does it work?

OUR SOLUTION

AI Monitoring Unit

Our robust monitoring unit analyses 100% of waste, providing you with live composition data at scale. We designed it to be retrofitted without disrupting your current infrastructure.

AI Model

Our integrated AI model characterises objects automatically and in real time – with an error rate of less than 1%.  

What it recognises

Waste Analytics Dashboard

Your waste analytics dashboard is completely customisable. It displays live composition data and insights to inform your decision-making from the control room.

AI Vision Integration

Our AI Vision Integration can link actionable insights with third-party systems through an open API. Enhance existing software and sorting machinery with machine learning cognition. 

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PRODUCT GUIDE

Greyparrot product brochure

Read our short product guide and learn more about unlocking the full value of your waste with AI.

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What does our AI recognise?

Greyparrot detects differences almost imperceptible to the human eye even when crumpled and overlapping.

1 Product recognition

Reliable recognition of packaging type, including food vs. non-food grade items.

2 Material recognition

Accurate identification of over 50 materials, including the black plastics and mixed material packaging (e.g sleeved bottles) that confuse current NIR systems.

3 Brand recognition

The ability to recognise packaging by brand and SKU (stock keeping unit) e.g. diet_coke_300ml.

Reliable recognition of packaging type, including food vs. non-food grade items.

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Accurate identification of over 50 materials, including the black plastics and mixed material packaging (e.g sleeved bottles) that confuse current NIR systems.

Sojitz Inference 2

The ability to recognise packaging by brand and SKU (stock keeping unit) e.g. diet_coke_300ml.

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Greyparrot AI waste taxonomy

49 waste types across 10 categories

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How MRFs, PRFs and other reprocessors use our system

Whether at an MRF, a PRF or another reprocessor, our system reveals previously untapped operational insights. Use them to automate labour-intensive processes, guarantee product purity and extract more value from waste.

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Automate manual sampling

Monitor 100% of your material streams in real-time to create accurate, in-depth reports.

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Certify purity per bale

Confidently deliver the high quality product your customers expect, backed by reliable data.

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Improve plant performance
Automate sampling and take a proactive approach to plant optimisation with real-time insight.

 

Learn more

Want to see Greyparrot in action?

Book a demo to see our dashboard running in real-time at an active sorting facility

Book a demo