﻿{"id":7078,"date":"2026-03-25T15:54:39","date_gmt":"2026-03-25T15:54:39","guid":{"rendered":"https:\/\/www.intellimech.it\/collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call\/"},"modified":"2026-03-25T15:55:45","modified_gmt":"2026-03-25T15:55:45","slug":"collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call","status":"publish","type":"post","link":"https:\/\/www.intellimech.it\/en\/collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call\/","title":{"rendered":"Collaborating for smarter automotive production: PERSICO and INTELLIMECH in the AIRISE Open Call"},"content":{"rendered":"<h4><strong><em>Industrial challenge<\/em><\/strong><\/h4>\n<p>Automotive interior components combine rigid plastic supports with flexible coatings that must be positioned very precisely on highly configurable lines. Today, operators are responsible for loading parts that arrive in random orientations and for visually checking finished components, including subtle aesthetic imperfections. This combination of complex geometries, frequent product changeovers and high staff turnover increases the risk of misplacement and late defect detection, leading to unnecessary waste and putting constant pressure on human inspectors.<\/p>\n<h4><em>AI-based solution under test<\/em><\/h4>\n<p>Within the AIRISE framework, PERSICO is piloting a new workstation in its laboratory that couples collaborative robotics with AI vision. A robot equipped with a dedicated multi\u2011station gripper retrieves both 3D plastic parts and deformable liners from random loading stations, using AI\u2011based object detection and pose estimation to guide accurate placement on the line. At the end of the process, a vision system with an industrial camera analyses each produced part and classifies potential defects, including difficult\u2011to\u2011quantify aesthetic issues, providing a clear decision interface for operators.<\/p>\n<p>The prototype cells are designed for integration into existing and new production equipment and are being evaluated on PERSICO\u2019s internal pre\u2011series lines. The assessment focuses on cycle time, positioning accuracy, robustness of defect detection and overall cost\u2011effectiveness, with the objective of enabling deployment to more than 200 customer plants once validation is complete.<\/p>\n<h4><em>Experience within AIRISE<\/em><\/h4>\n<p>Participation in the AIRISE Open Call has allowed PERSICO and INTELLIMECH to collaborate closely and test the solution under realistic manufacturing conditions. The AIRISE services have supported the refinement of the vision algorithms, streamlined data acquisition and facilitated the identification of critical issues at an early stage. AIRISE project is a valuable opportunity for SMEs and mid\u2011caps to access targeted AI expertise, benefit from a structured experimentation framework and build a concrete roadmap for scaling AI across their own production lines.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Industrial challenge Automotive interior components combine rigid plastic supports with flexible coatings that must be positioned very precisely on highly configurable lines. Today, operators are responsible for loading parts that arrive in random orientations and for visually checking finished components, including subtle aesthetic imperfections. This combination of complex geometries, frequent product changeovers and high staff [&hellip;]<\/p>\n","protected":false},"author":4,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[44],"tags":[],"class_list":["post-7078","post","type-post","status-publish","format-standard","hentry","category-case-history-en"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\r\n<title>Collaborating for smarter automotive production: PERSICO and INTELLIMECH in the AIRISE Open Call - Intellimech<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/www.intellimech.it\/en\/collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call\/\" \/>\r\n<meta property=\"og:locale\" content=\"en_US\" \/>\r\n<meta property=\"og:type\" content=\"article\" \/>\r\n<meta property=\"og:title\" content=\"Collaborating for smarter automotive production: PERSICO and INTELLIMECH in the AIRISE Open Call - Intellimech\" \/>\r\n<meta property=\"og:description\" content=\"Industrial challenge Automotive interior components combine rigid plastic supports with flexible coatings that must be positioned very precisely on highly configurable lines. Today, operators are responsible for loading parts that arrive in random orientations and for visually checking finished components, including subtle aesthetic imperfections. This combination of complex geometries, frequent product changeovers and high staff [&hellip;]\" \/>\r\n<meta property=\"og:url\" content=\"https:\/\/www.intellimech.it\/en\/collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call\/\" \/>\r\n<meta property=\"og:site_name\" content=\"Intellimech\" \/>\r\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/Intellimech\/\" \/>\r\n<meta property=\"article:published_time\" content=\"2026-03-25T15:54:39+00:00\" \/>\r\n<meta property=\"article:modified_time\" content=\"2026-03-25T15:55:45+00:00\" \/>\r\n<meta name=\"author\" content=\"Annalisa\" \/>\r\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\r\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Annalisa\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\r\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/www.intellimech.it\/en\/collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/www.intellimech.it\/en\/collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call\/\"},\"author\":{\"name\":\"Annalisa\",\"@id\":\"https:\/\/www.intellimech.it\/#\/schema\/person\/6e88e9ea024c5dfdd343d819411f188c\"},\"headline\":\"Collaborating for smarter automotive production: PERSICO and INTELLIMECH in the AIRISE Open Call\",\"datePublished\":\"2026-03-25T15:54:39+00:00\",\"dateModified\":\"2026-03-25T15:55:45+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/www.intellimech.it\/en\/collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call\/\"},\"wordCount\":323,\"publisher\":{\"@id\":\"https:\/\/www.intellimech.it\/#organization\"},\"articleSection\":[\"Case History\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.intellimech.it\/en\/collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call\/\",\"url\":\"https:\/\/www.intellimech.it\/en\/collaborating-for-smarter-automotive-production-persico-and-intellimech-in-the-airise-open-call\/\",\"name\":\"Collaborating for smarter automotive production: PERSICO and INTELLIMECH in the AIRISE Open Call - 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