{"id":5146,"date":"2020-12-07T11:16:38","date_gmt":"2020-12-07T11:16:38","guid":{"rendered":"https:\/\/www.iris-eng.com\/project-single\/agrocycle\/"},"modified":"2024-10-21T14:20:42","modified_gmt":"2024-10-21T12:20:42","slug":"agrocycle","status":"publish","type":"project-single","link":"https:\/\/www.iris-eng.com\/it\/project-single\/agrocycle\/","title":{"rendered":"RECONSTRUCT: AI-Driven Solutions for Sustainable Construction Waste Management"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"<p>In the RECONSTRUCT project, IRIS Technology is developing AI-based models to enhance the sourcing, characterization, and sorting of construction and demolition waste (CDW). By employing advanced computer vision and machine learning, IRIS is creating tools to identify valuable materials within waste streams, enabling more efficient recycling and reuse. This digital approach facilitates circular economy practices by allowing construction materials to be repurposed, thus minimizing environmental impact. IRIS\u2019s innovations in RECONSTRUCT support the project\u2019s mission to reduce waste and promote sustainable urban development.<\/p>\n","protected":false},"featured_media":9859,"template":"","class_list":["post-5146","project-single","type-project-single","status-publish","has-post-thumbnail","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.iris-eng.com\/it\/wp-json\/wp\/v2\/project-single\/5146","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.iris-eng.com\/it\/wp-json\/wp\/v2\/project-single"}],"about":[{"href":"https:\/\/www.iris-eng.com\/it\/wp-json\/wp\/v2\/types\/project-single"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.iris-eng.com\/it\/wp-json\/wp\/v2\/media\/9859"}],"wp:attachment":[{"href":"https:\/\/www.iris-eng.com\/it\/wp-json\/wp\/v2\/media?parent=5146"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}