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Imagine that your basket sends you a weekly report containing everything you've thrown away, its value and its environmental footprint. Released today, the Winnow Vision smart can only do this for the food wastage by the hospitality industry, which, according to them, amounts to $ 100 billion a year.
The Winnow Vision smart bin recognizes food as discarded.
winnow
The introduction of Winnow Vision represents a new, more automated era of food waste tracking. As the old saying goes, you can not handle what you do not measure. Food services waste tracking products, such as LeanPath and the first-generation Winnow product, have been around for more than a decade. They have been very successful at helping users dramatically reduce the amount of food they waste, but one of the biggest challenges has always been to have kitchen staff capture information every time an item is discarded. Winnow Vision simplifies much of this process by automatically identifying waste.
"Without visibility on what is wasted, kitchens are wasting a lot more food than they think. Understanding and reporting the very real costs of food waste for the balance sheet and the environment. Winnow Vision allows leaders to act, "said Marc Zornes, CEO of Winnow.
With the help of a camera, scales and artificial intelligence, the smart bin "learns" to recognize many foods. Users can refine the system by training it to specific menu items. For the moment, Winnow Vision can predict the right food with an accuracy of 80%. A kitchen staff member only has to verify that the identification is correct, which, over time, helps improve the system's capabilities. Businesses and chefs can then use information about food, financial and environmental costs to adjust their purchasing decisions accordingly.
IKEA and Emmar Hospitality Group have both led the success of Winnow Vision, with deployments in 75 kitchens and hundreds more planned for the coming year. They do not have information for this new product, but report respective reductions of 50% and 72% of kitchen waste in kitchens using the first generation product. & Nbsp; For IKEA, this meant savings of up to $ 100,000 per store.
Image recognition is one of the most exciting developments in food technology in terms of reducing waste. Walmart's Eden The project uses image recognition with a freshness algorithm to prioritize the flow of perishable goods. Used in 43 distribution centers, the company estimates that this capacity has prevented the production of waste worth $ 86 million.
Vision of impact uses hyperspectral imagery to help companies badess the quality, shelf life and contamination of food. This can minimize product releases and contaminated loads, as well as deliver the product optimally. These are just the beginning of a multitude of upcoming smart imaging applications.
Winnow Vision's contribution is to reduce the manual input required for waste tracking. By following this path, it is not difficult to envision a world where garbage everywhere will document what it contains and help businesses and households manage their waste accordingly. This would help to better understand a problem that, for the moment, remains invisible – and expensive – for the most part.
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Imagine that your basket sends you a weekly report containing everything you've thrown away, its value and its environmental footprint. Released today, the smart Winnow Vision does just that for the food waste by the hospitality industry, whose estimated amount is $ 100 billion a year.
The Winnow Vision smart bin recognizes food as discarded.
winnow
The introduction of Winnow Vision represents a new, more automated era of food waste tracking. As the old saying goes, you can not handle what you do not measure. Catering waste products, such as LeanPath and Winnow's first generation product, have been around for more than a decade. They have been very successful at helping users dramatically reduce the amount of food they waste, but one of the biggest challenges has always been to have kitchen staff capture information every time an item is discarded. Winnow Vision simplifies much of this process by automatically identifying waste.
"Without visibility on what is wasted, kitchens are wasting a lot more food than they think. Understanding and reporting the very real costs of food waste for the balance sheet and the environment. Winnow Vision allows leaders to act, "said Marc Zornes, CEO of Winnow.
With the help of a camera, scales and artificial intelligence, the smart bin "learns" to recognize many foods. Users can refine the system by training it to specific menu items. For the moment, Winnow Vision can predict the right food with an accuracy of 80%. A kitchen staff member only has to verify that the identification is correct, which, over time, helps improve the system's capabilities. Businesses and chefs can then use information about food, financial and environmental costs to adjust their purchasing decisions accordingly.
IKEA and Emmar Hospitality Group have both led the success of Winnow Vision, with deployments in 75 kitchens and hundreds more planned for the coming year. They do not have information on this new product, but report a 50% and 72% reduction, respectively, of food waste in the kitchen with the first-generation product. For IKEA, this meant savings of up to $ 100,000 per store.
Image recognition is one of the most exciting developments in food technology in terms of reducing waste. The Walmart Eden Project uses image recognition and a freshness algorithm to prioritize perishable food flows. Used in 43 distribution centers, the company estimates that this capacity has prevented the production of waste worth $ 86 million.
Impact Vision uses hyperspectral imagery to help companies badess food quality, shelf life and contamination. This can minimize product releases and contaminated loads, as well as deliver the product optimally. These are just the beginning of a multitude of upcoming smart imaging applications.
Winnow Vision's contribution is to reduce the manual input required for waste tracking. By following this path, it is not difficult to envision a world where garbage everywhere will document what it contains and help businesses and households manage their waste accordingly. This would illuminate a problem that, for the moment, remains invisible – and expensive – for the most part.
