How an AI Bin is Helping Tackle the Global Food Waste Problem

The technology firm Winnow, which is based in Milton Keynes, have added a rather smart contender to solve the global food waste problem - an AI bin. The Winnow Vision bin uses a combination of scales, cameras and machine learning technology to track the food that is being thrown away. This information is used to see what the financial and environmental cost of the food is, which can help to cut down on food waste in the future.

The Winnow Vision has been trialled in 23 IKEA stores and about 75 bins have been installed. The firm hopes to expand its reach to other commercial kitchens and one day people’s homes all around the world.

(The Winnow Vision bin:    Winnow   )

(The Winnow Vision bin: Winnow)

Winnow uses human input during its training phase to help quickly automate the system and save staff time. It can also provide detailed reports for chefs to see. After training, the Winnow Vision requires almost no staff training or data entry. Winnow claims that the bin surpasses human levels of accuracy when it comes to identifying food waste.

It is estimated that Winnow can cut food costs by 3-8%, reduce food waste by 40-70% and in total the Winnow Vision bins have saved nearly $30 million worth of food and about 39,000 tonnes of carbon dioxide so far.