A Day in the Life of Greyparrot’s Head of Deep Learning
Get a glimpse of what a day in the life of Susana Zoghbi, our Head of Deep Learning, looks like at Greyparrot.
Susana Zoghbi, PhD. • Jun 17, 2022
Trusted by global leaders in waste management:
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Designed to automate waste composition analysis at sorting facilities
Greyparrot AI Waste Recognition System is deployed globally on moving conveyor belts in sorting facilities (MRFs, PRFs, and other reprocessors) to monitor, analyse, and sort large waste flows at scale.
Guaranteed product quality
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.
Comply with sampling requirements while reducing the cost of manual labour
Manual spot sampling is limited by time and resource constraints and as a result, covers a very small proportion of all processed waste. Continuous monitoring of waste through computer vision ensures a much better depiction of true waste composition, allowing you to unlock the true value of their waste.
Improve operational efficiency
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.
Learn from our customers
Greyparrot works with leaders in resources and waste management globally.
Ian McSpirit, Site Manager at Biffa
“The technology has the potential to give us great visibility into our operations and directly aligns with our vision of enabling a circular economy. We’re using the systems to provide real-time analysis of the purity of our PET output material.”
Felix Badura, General Manager of DiGiDo ARA
“We have implemented Greyparrot at one of our sorting partner plants to monitor the purity of the output material close to the bale press. Given the challenging environment, we were positively surprised by the classification outcome. The real-time dashboard gives us an unprecedented amount of insight into the quality of the produced output fractions.”
Guglielmo Carra, Innovation Manager, A2A
“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.”
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Harrison Kim, Managing Director at ACI
"Our new bond with Greyparrot leads us towards innovation and helps us tackle one of the world’s current global issues – the waste crisis."
Director at large global waste management company
"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."
Bill Swan, Managing Director of Paper Round
“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.”
Get in touch today to find out more
Speak to our team about your challenges, waste type and analysis needs today
Latest blog and news
Dive into Greyparrot's latest stories, industry news and expert articles on all things AI and waste
Greyparrot raises $11M Series A to accelerate the race to meet global recycling targets
Greyparrot has closed an $11 million Series A funding round to digitise the $1.6 trillion waste management industry and power the circular economy.
Mikela Druckman • May 24, 2022
Using AI to Unlock The True Value of Your Waste - Manual Sampling vs Automated Monitoring
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