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AI Has Been Trained to Identify Recyclable Waste

The World Bank said that around 2.24 billion tonnes of solid waste was produced in 2020, which can rise by 73% to 3.88 billion tonnes by 2050. Research from the Universities of Georgia and California calculated that more than 8.3 billion tonnes of plastic waste was produced. (www.drogueriasanjorge.com)  

Mikela Druckman, founder of Greyparrot, said that in a single day, mountains of waste in one facility come through, and surprisingly it will never stop, there is no holiday for it, it will just keep going.

Ms. Druckman also said that it is still challenging to train the algorithm to recognize garbage for AI systems. She added that a product like a coke bottle will be crushed, crumpled, and dirty once it’s thrown away. This makes the problem more complex from an AI standpoint.

Read also : Jakarta Traffic Lights to Use AI as Control System Reducing Traffic Jam

She also added that if we had strict rules that change the way we consume, and how we design packaging, it can have a very big impact on the value chain and how we are using resources.

She hopes that other producers and big brands will consider to start using data generated by firms like Greyparrot, and sooner or later design more reusable products.

About Greyparrot

Greyparrot is a start-up in the UK that has created an AI system designed to analyze waste processing and recycling facilities. Greyparrot places camera above the conveyor belt of around 50 waste and recycling sites in Europe, utilizing AI software to analyze what passes through in real-time

Greyparrot’s technologies currently track 32 billion waste products per year, and the company has created a massive digital waste map. This data can be used by waste management to improve operational efficiency, but it can also be widely shared.

Source: BBC, Gagadget

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