INSUBCONTINENT EXCLUSIVE:
Meet Greyparrot, a London-based startup that wants to improve waste management
The company uses computer vision to make sorting more efficient at different stages of the waste chain
And Greyparrot has been selected as a wildcard for the Startup Battlefield at TechCrunch Disrupt SF.The company has been using machine
learning with images of different types of waste to train a model that detects glass, paper, cardboard, newspapers, cans and different types
of plastics (black trays, PET, HDPE).Greyparrot can then use a simple camera combined with a computer to sort waste in a fraction of a
second.There are many different use cases for this kind of technology, but it seems particularly promising in sorting facilities
Those facilities already use a ton of machines to separate small and big objects, metal from plastics, etc
possible to sort everything with a 100% accuracy, you want to get as close as possible to 100%
Sorting facilities create huge cubes of PET plastics and send them to countries on the other side of the world so that they can transform
PET into something else.In some cases, those cubes are not pure enough
For instance, Indonesia regularly refuses containers of waste and send them back to the United States or Europe.[gallery
It can also identify problematic objects and give coordinates to a sorting robot so that it can automatically pick up impurities.The startup
has been testing its solution in facilities in the U.K
It has raised $1.2 million so far.In the future, Greyparrot also has other ideas of use cases
You could also use Greyparrot in reverse vending machines and credit your account when you return plastic bottles.
