{"id":50717,"date":"2023-08-25T08:00:14","date_gmt":"2023-08-25T06:00:14","guid":{"rendered":"https:\/\/www.expo21xx.com\/news\/?p=50717"},"modified":"2023-08-23T16:23:25","modified_gmt":"2023-08-23T14:23:25","slug":"npp-leverages-tomras-deep-learning-technology-to-purify-the-production-of-rpet","status":"publish","type":"post","link":"https:\/\/www.expo21xx.com\/news\/npp-leverages-tomras-deep-learning-technology-to-purify-the-production-of-rpet\/","title":{"rendered":"NPP leverages TOMRA\u2019s deep learning technology to purify the production of rPET"},"content":{"rendered":"\n<figure class=\"wp-block-image\"><img loading=\"lazy\" decoding=\"async\" width=\"700\" height=\"458\" src=\"https:\/\/www.expo21xx.com\/news\/wp-content\/uploads\/Bildschirmfoto-2023-08-22-um-10.56.20-1-700x458.png\" alt=\"\" class=\"wp-image-50719\" srcset=\"https:\/\/www.expo21xx.com\/news\/wp-content\/uploads\/Bildschirmfoto-2023-08-22-um-10.56.20-1-700x458.png 700w, https:\/\/www.expo21xx.com\/news\/wp-content\/uploads\/Bildschirmfoto-2023-08-22-um-10.56.20-1-149x97.png 149w, https:\/\/www.expo21xx.com\/news\/wp-content\/uploads\/Bildschirmfoto-2023-08-22-um-10.56.20-1-350x229.png 350w, https:\/\/www.expo21xx.com\/news\/wp-content\/uploads\/Bildschirmfoto-2023-08-22-um-10.56.20-1-768x502.png 768w, https:\/\/www.expo21xx.com\/news\/wp-content\/uploads\/Bildschirmfoto-2023-08-22-um-10.56.20-1.png 1040w\" sizes=\"auto, (max-width: 700px) 100vw, 700px\" \/><figcaption>Amed Tuwi, Application Developer &#8211; Deep Learning at TOMRA, and Alexandre Cliche, Quality Manager at NPP<br>Photo by TOMRA Recycling<\/figcaption><\/figure>\n\n\n\n<p>Nord Pal Plast is a company specializing in the production of recycled PET flakes derived from post-consumer plastic bottles. The subsidiary of the European group Dentis was established in 2003 and is based in Lesquin, France. The company was the first to test a new deep learning application developed by TOMRA Recycling Sorting that enables the separation of clear and light blue transparent bottles from hard-to-detect white opaque bottles to create a clean PET bottle stream.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Regulatory change drives innovation at sorting facilities<\/h3>\n\n\n\n<p>Under the Circular Economy Law, France has set an ambitious target of recycling 100% of plastics by 2025. To achieve this, consumers nationwide received instructions to sort household packaging waste into separate paper\/carton, metal, and plastic bins. To meet the demands of these regulatory changes and increase the volume of recycled plastic content available to the market, Nord Pal Plast (NPP) initiated a project with TOMRA Recycling Sorting in 2022.<\/p>\n\n\n\n<p>Even with conventional sorting technologies, creating a pure recyclable PET fraction was challenging due to hard-to-detect plastic contaminants, such as multilayer packaging. Milk bottles in France, for example, are often composed of multiple layers of different colored plastics, with the outermost white layer containing titanium dioxide that provides UV protection. While producer responsibility organizations like the French Eco-emballages have called for reducing opacifying colorants in PET (2) these materials are abundant in waste and need to be separated from the target fraction using the most advanced sorting technologies.<\/p>\n\n\n\n<p>\u200bWorking in collaboration with the research and development engineers at TOMRA Recycling Sorting, a new deep learning-based application for purifying PET was tested on the sorting lines at NPP. TOMRA software engineers trained the&nbsp;<a href=\"https:\/\/www.tomra.com\/waste-metal-recycling\/products\/machines\/autosort\" rel=\"nofollow\">AUTOSORT\u00ae<\/a>&nbsp;with&nbsp;<a href=\"https:\/\/www.tomra.com\/waste-metal-recycling\/products\/technologies\/gain\" rel=\"nofollow\">GAIN&#x2122; deep learning technology<\/a>&nbsp;to detect opaque PET objects, foils, textiles and films that are considered contaminants when producing rPET. The machine\u2019s powerful combination of deep learning software and cutting-edge sensors now makes it possible to create a mono fraction of transparent PET with outstanding purity levels.<\/p>\n\n\n\n<p>\u201cWith our latest GAIN&#x2122; application, we have targeted the separation of white opaque PET from clear PET, which was previously difficult to solve with conventional technology\u201d, explains Amed Tuwi, Application Developer &#8211; Deep Learning at TOMRA Recycling Sorting. As project leader for the new GAIN&#x2122; application, Tuwi commented: \u201cNPP is a highly recognized and future-forward player in the industry \u2013they were a great collaborative partner to test our new PET cleaning application on an industrial scale.\u201d<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Building a competitive edge with technology<\/h3>\n\n\n\n<p>In operation since 2003, NPP is a PET bottle recycling company with a processing capacity of 40,000 metric tons of PET bottles per year. Specializing in clear and colored PET bottle recycling, NPP has used TOMRA sorting technology for over 12 years. The company\u2019s sorting plant in Lesquin features six AUTOSORT\u00ae machines, two of which have been equipped with GAIN deep learning technology.<\/p>\n\n\n\n<p>\u201cNot only has deep learning technology significantly improved our purity levels of clear PET, but it also allows us to expand our operations and create new revenue streams. With this new application for PET, we can now recycle white opaque PET bottles with UV barriers and easy-to-separate body sleeves \u2013 items found in supermarkets nationwide\u201d, explains Alexandre Cliche, Quality Manager at NPP.<\/p>\n\n\n\n<p>The plastic sorting facility uses one AUTOSORT\u00ae with GAIN&#x2122; technology to purify the PET bottle input stream from contaminants. The second machine with deep learning technology then recovers recyclable PET bottles from the first sorting step. This ensures that NPP recovers as much material as possible for recycling, maximizing yield.<\/p>\n\n\n\n<p>&#8220;The new deep learning application for PET halves the final residual contamination, and we are now achieving 100 ppm (parts per million) contamination. What&#8217;s more, this is achieved with a minimum number of machines \u2013 an investment that really pays off when it comes to operating costs\u201d, comments Fr\u00e9d\u00e9ric Durand, Managing Director of TOMRA France.<\/p>\n\n\n\n<p>After successfully implementing TOMRA\u2019s deep learning technology to achieve higher purity levels of secondary raw materials, NPP has been selected by Citeo in its national tender as a trusted industrial partner to operate the recycling of PET bottles.<\/p>\n\n\n\n<p>For more information, please visit: <a href=\"https:\/\/www.tomra.com\/waste-metal-recycling\/media-center\/news\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\" label=\"https:\/\/www.tomra.com\/waste-metal-recycling\/media-center\/news\/ (opens in a new tab)\">https:\/\/www.tomra.com\/waste-metal-recycling\/media-center\/news\/<\/a><\/p>\n\n\n\n<p>\u200b<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Nord Pal Plast is a company specializing in the production of recycled PET flakes derived from post-consumer plastic bottles. The subsidiary of the European group Dentis was established in 2003 and is [&hellip;]<\/p>\n","protected":false},"author":12,"featured_media":50721,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1156],"tags":[1079,1241,832],"class_list":["post-50717","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-environmental-technology","tag-environment","tag-environmental","tag-environments"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.8.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>NPP leverages TOMRA\u2019s deep learning technology to purify the production of rPET - EXPO21XX.com NEWS<\/title>\n<meta name=\"description\" content=\"Nord Pal Plast is a company specializing in the production of recycled PET flakes derived from post-consumer plastic bottles.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, 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