{"id":152,"date":"2021-12-24T17:02:20","date_gmt":"2021-12-24T17:02:20","guid":{"rendered":"https:\/\/crazydemos.com\/demo\/iconpro\/?post_type=casestudies&p=152"},"modified":"2023-08-08T16:16:26","modified_gmt":"2023-08-08T16:16:26","slug":"manufacturing-visual-inspection","status":"publish","type":"casestudies","link":"https:\/\/crazydemos.com\/demo\/iconpro\/casestudy\/manufacturing-visual-inspection\/","title":{"rendered":"Manufacturing \u2013 Visual Inspection"},"content":{"rendered":"

Project Subtitle<\/strong>
\nSystem for adaptive phototonic surface testing with adaptive image evaluation in combination with a cleaning system.<\/p>\n

Companies and Partners<\/strong>
\nPI Innovation GmbH, H\u00f6ckh Metall-Reinigungsanlagen GmbH, LPW Reinigungssysteme GmbH, Hexagon Metrology Vision GmbH, Gl\u00e4ser GmbH, Fraunhofer-Institut f\u00fcr Physikalische Messtechnik IPM, Technische Universit\u00e4t Dortmund \u2013 Institut f\u00fcr Produktionssysteme, Audi AG, Hansgrohe SE, MTU Aero Engines AG, \u000bsprintBOX GmbH, Walter AG<\/p>\n

Problem<\/strong>
\nIn manufacturing inspection, surface inspection of components is an increasingly important task, which today is almost exclusively performed by tedious and error-prone visual inspection. One unsolved challenge for surface inspection of defects, especially on free-form surfaces, is particulate contamination.<\/p>\n

Solution<\/strong>
\nThe aim of SysPOT is to develop an optical system for the inline measurement of particles and defects on surfaces as well as a controlled cleaning process. The overall solution to be developed consists of an optical sensor for the complete inspection of component surfaces for defects and particles directly after cleaning, cleaning equipment for the controlled and qualified cleaning of complex components, and a control logic that evaluates and adapts the cleaning and measuring system as autonomously as possible to the requirements of the components with the associated individual inspection requirements on an AI basis.<\/p>\n

Outcomes<\/strong>
\nAutomated, repeatable and cost-efficient detection of particulate contamination on\u000bsurfaces of workpieces to be inspected.
\nSelf-controlling cleaning process for cleaning of particulate contamination.<\/p>\n","protected":false},"featured_media":2374,"template":"","tags":[123,119],"case_studies_category":[],"class_list":["post-152","casestudies","type-casestudies","status-publish","has-post-thumbnail","hentry","tag-case-study","tag-machine-vision"],"acf":[],"yoast_head":"\nManufacturing \u2013 Visual Inspection<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/crazydemos.com\/demo\/iconpro\/casestudy\/manufacturing-visual-inspection\/\" \/>\n<meta property=\"og:locale\" content=\"de_DE\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Manufacturing \u2013 Visual Inspection\" \/>\n<meta property=\"og:description\" content=\"Project Subtitle System for adaptive phototonic surface testing with adaptive image evaluation in combination with a cleaning system. 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