According to the U.S. Department of Agriculture, approximately 30% to 40% of the food supply is wasted. In an effort to tackle this issue, London-based company Winnow has developed an AI-powered system for reducing food waste in commercial kitchens worldwide. Using machine learning and a camera, Winnow’s technology can measure the foods discarded on a daily basis by employing computer vision to identify waste in real-time. The system also incorporates a scale to measure the amount of wasted food. This data is then used to provide information to culinary teams and management about the total value of food waste, enabling them to make informed decisions to reduce waste. One of Winnow’s clients, Iberostar, an international hotel and resort group, has successfully implemented this technology in its kitchens across multiple locations. By reducing food waste, Iberostar aims to achieve its sustainability goals, including carbon neutrality by 2030 and the protection of oceans in the vicinity of its properties. Food waste has been found to have a larger environmental impact than the electricity consumed by the company. Winnow’s system assists in categorizing food waste more efficiently by considering various factors such as time of day, weight, color, and shape. By accurately identifying wasted food items, the system helps kitchens meet their targets for waste reduction. Winnow’s AI technology continually improves through the information it gathers from every instance of food waste, enhancing its ability to identify new items through image recognition and training its model. Feedback from Winnow’s clients has been highly positive, with Iberostar emphasizing the efficiency and effectiveness of AI systems like Winnow in their operations. Winnow sees great potential in leveraging computer vision in different aspects of kitchen management, allowing for improved food preparation and operational efficiency. The company’s ultimate goal is to prevent $1 billion per year in food waste by the end of the decade, and thus far, it has already saved $175 million through its AI technology.
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