{"id":580099,"date":"2026-08-02T10:04:09","date_gmt":"2026-08-02T10:04:09","guid":{"rendered":"https:\/\/www.newsbeep.com\/ie\/580099\/"},"modified":"2026-08-02T10:04:09","modified_gmt":"2026-08-02T10:04:09","slug":"a-hybrid-k-means-knn-approach-for-real-time-plastic-type-identification-using-nir-spectroscopy-interactions","status":"publish","type":"post","link":"https:\/\/www.newsbeep.com\/ie\/580099\/","title":{"rendered":"A hybrid K-Means\u2013KNN approach for real-time plastic type identification using NIR spectroscopy | Interactions"},"content":{"rendered":"<p>Plastic waste management remains challenging because different polymer types are often difficult to distinguish during sorting. This study presents a plastic classification system that combines a Near-Infrared (NIR) sensor with machine learning for automated identification. Spectral reflectance data were collected from polypropylene (PP), polyethylene terephthalate (PET), low-density polyethylene (LDPE), and baseline samples. Multiple machine learning models were evaluated, and the best-performing methods were combined to improve classification performance. The system was implemented using an Arduino-based sensing setup and a Python-based machine learning pipeline. Experimental results demonstrated an accuracy of over 98% during real-time testing, indicating the potential of the proposed low-cost system for automated plastic sorting and waste management applications.<\/p>\n","protected":false},"excerpt":{"rendered":"Plastic waste management remains challenging because different polymer types are often difficult to distinguish during sorting. This study&hellip;\n","protected":false},"author":2,"featured_media":580100,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[2301,1440,244786,244785,244783,61,60,244781,244782,3045,2302,244780,12793,2303,244779,207922,244784,82,244787,244788],"class_list":["post-580099","post","type-post","status-publish","format-standard","has-post-thumbnail","category-science","tag-atomic","tag-condensed-matter-physics","tag-hadrons","tag-heavy-ions","tag-hybrid-model","tag-ie","tag-ireland","tag-k-means-clustering","tag-k-nearest-neighbours-knn","tag-machine-learning","tag-molecular","tag-near-infrared-nir-sensor","tag-nuclear-physics","tag-optical-and-plasma-physics","tag-plastic-classification","tag-plastic-waste-management","tag-real-time-identification","tag-science","tag-surfaces-and-interfaces","tag-thin-films"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/580099","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/comments?post=580099"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/posts\/580099\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media\/580100"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/media?parent=580099"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/categories?post=580099"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/ie\/wp-json\/wp\/v2\/tags?post=580099"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}