6 years ago
Greyparrot's Computer Vision Solution Improves Waste Management
Greyparrot, a London-based startup, uses computer vision to improve waste management by making sorting more efficient
Their machine learning model detects various waste types and allows for fast sorting with cameras
Greyparrot has applications in sorting facilities, assessing purity, identifying problematic objects, and potential future uses in smart bins and reverse vending machines
The startup has raised $1.2 million and is testing its solution in the UK and South Korea.
ProblemTechnology
"Waste sorting is often inefficient, with manual labor needed to identify and remove impurities. This leads to inaccurate sorting, resulting in mixed waste being sent to recycling facilities, which can be rejected by receiving countries."
Solution
"Greyparrot uses computer vision to automate waste sorting, analyzing images to identify different types of waste, such as glass, paper, cardboard, and various plastics. This allows for more accurate sorting, reducing the need for manual labor and improving the purity of recycled materials."
