{"id":3650,"date":"2023-11-22T11:39:39","date_gmt":"2023-11-22T02:39:39","guid":{"rendered":"http:\/\/ctiweb.co.jp\/con\/en\/?p=3650"},"modified":"2023-11-22T11:39:39","modified_gmt":"2023-11-22T02:39:39","slug":"ai-powered-plastic-sorting-project-led-by-recycleye-valorplast-and-totalenergies-delivers-world-first-towards-food-grade-polypropylene-mechanical-recycling","status":"publish","type":"post","link":"https:\/\/ctiweb.co.jp\/con\/en\/ai-powered-plastic-sorting-project-led-by-recycleye-valorplast-and-totalenergies-delivers-world-first-towards-food-grade-polypropylene-mechanical-recycling","title":{"rendered":"AI-powered plastic sorting project led by Recycleye, Valorplast, and TotalEnergies delivers world first towards food-grade polypropylene mechanical recycling"},"content":{"rendered":"\n
\"\"<\/figure><\/div>\n\n\n\n

Brussels, November 21, 2023 <\/strong>\u2013 Collaborative research project OMNI directed by Recycleye, Valorplast, and TotalEnergies to enhance the circularity of polypropylene (PP) food packaging led to ground-breaking results. The new technology based on Artificial Intelligence (AI) and computer vision, coupled with an efficient decontamination process, provides a high-performing marketable solution to tackle the challenge of mechanically recycling polypropylene for food-contact applications.<\/p>\n\n\n\n

Project OMNI is an innovative project aiming to leverage AI and Machine Learning for the identification and separation of food-grade PP from household post-consumer wastes. It is one of the 7 projects successfully selected in October 2020 by Citeo, a mission-led company reducing the environmental impacts of household packaging and paper, in the framework of a call for projects.<\/p>\n\n\n\n

After 18 months of research, Project OMNI led to an alternative to digital and physical marking solutions which require system-wide packaging changes. In a demonstration unit, Recycleye built and trained an AI model based on wastes collected from 5 locations across France supplied and characterized by Valorplast. The AI and robotic sorting achieved a successful pick rate of 50% of the food-grade material, with >95% purity. This sorting activity produced material used for further decontamination on a semi-industrial pilot based on off-the-shelf mechanical recycling technologies. TotalEnergies then leveraged its polymer expertise to produce odorless, clean rPP suitable for high-end packaging applications.<\/p>\n\n\n\n

The novel developed process has demonstrated the efficient decontamination of food-grade PP waste sorted by AI and computer vision and opens new opportunities for circularity of polypropylene packaging.<\/p>\n\n\n\n

Nathalie Brunelle, Senior Vice President, Polymers at TotalEnergies<\/strong>, said: \u201cThis project not only demonstrates how cutting-edge technology can improve material circularity, but also paves the way for a wider range of accessible applications for recycled polymers to serve our customers. It provides a concrete response to the challenge of managing end-of-life plastics, and fully supports our ambition of reaching 1 million tons of circular polymers\u201d.<\/em><\/p>\n\n\n\n

Victor Dewulf, CEO of Recycleye<\/strong> added \u201cWe are extremely excited to see this successful application of our robust AI-powered sorting technology at a semi-industrial scale. This application opens the possibility of creating new markets for recycled plastics materials; ultimately changing the economics of recycling\u201d.<\/em><\/p>\n\n\n\n

\u201cBeing able to recycle food-grade PP is a key factor in the establishment of a circular economy for PP packaging. AI is a promising route for achieving this objective\u201d<\/em> commented Alban Cotard, Sales Quality and Development Manager at Valorplast.<\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

Brussels, November 21, 2023 \u2013 Collaborative research project OMNI directed by Recycleye, Valorplast, and TotalEnergies to enhance the circularity of polypropylene (PP) food packaging led to ground-breaking results. The new technology based on Artificial Intelligence (AI) and computer vision, coupled with an efficient decontamination process, provides a high-performing marketable solution to tackle the challenge of mechanically recycling polypropylene for food-contact applications. Project OMNI is an innovative project aiming to leverage AI and Machine Learning for the identification and separation of food-grade PP from household post-consumer wastes. It is one of the 7 projects successfully selected in October 2020 by Citeo, a mission-led company reducing the environmental impacts of household packaging and … Continue reading \"AI-powered plastic sorting project led by Recycleye, Valorplast, and TotalEnergies delivers world first towards food-grade polypropylene mechanical recycling\"<\/span><\/a><\/p>\n","protected":false},"author":3,"featured_media":3651,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[1],"tags":[],"_links":{"self":[{"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/posts\/3650"}],"collection":[{"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/comments?post=3650"}],"version-history":[{"count":1,"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/posts\/3650\/revisions"}],"predecessor-version":[{"id":3652,"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/posts\/3650\/revisions\/3652"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/media\/3651"}],"wp:attachment":[{"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/media?parent=3650"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/categories?post=3650"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ctiweb.co.jp\/con\/en\/wp-json\/wp\/v2\/tags?post=3650"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}