{"id":14156,"date":"2026-07-09T10:40:14","date_gmt":"2026-07-09T08:40:14","guid":{"rendered":"https:\/\/cim.eu\/casi-studio\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/"},"modified":"2026-07-09T11:52:49","modified_gmt":"2026-07-09T09:52:49","slug":"ai-edge-and-data-driven-architecture-for-x-ray-food-inspection","status":"publish","type":"case-study","link":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/","title":{"rendered":"AI Edge and Data-Driven Architecture for X-Ray Food Inspection"},"content":{"rendered":"

Bringing AI to X-ray food inspection, transforming images and machine data into tools for quality, control, and new digital evolutions.<\/p>\n","protected":false},"featured_media":14158,"template":"","annualita":[],"area-di-intervento":[],"area_tecnologica":[177],"settore":[327],"tecnologia-abilitante":[328,190],"class_list":["post-14156","case-study","type-case-study","status-publish","has-post-thumbnail","hentry","area_tecnologica-digital-factory","settore-food-inspection","tecnologia-abilitante-industrial-iot","tecnologia-abilitante-artificial-intelligence-computer-vision-machine-vision"],"acf":{"proponente":"Rayonics","descrizione_breve":"","logo_finanziatore":"","importo_finanziato":"","contesto":"Rayonics is a company that has been designing, manufacturing, and installing X-ray inspection systems for food quality control since 1986, with over 200 machines installed worldwide.<\/span> The challenge addressed in the project concerns the evolution of X-ray inspection systems for the food industry: moving from traditional vision logic to solutions capable of interpreting images, anomalies, and process data in a more advanced way. In the food context, machines for product inspection via X-rays play a critical role in ensuring quality and food safety. Within the scope of Rayonics machinery, CIM worked on an evolutionary trajectory aimed at enabling real-time monitoring, predictive maintenance, and contaminant analysis through artificial intelligence algorithms. \n

The project therefore stems from three closely related industrial needs: improving automatic anomaly recognition in X-ray images, making processing compatible with real-time constraints, and building an architectural roadmap capable of leveraging machine-generated data in an edge-cloud perspective.<\/p>","soluzione":"

CIM supported Rayonics through a structured approach across three areas: business analysis and technology development roadmap<\/span>, development of a Proof of Concept for anomaly detection on X-ray images, and definition and design of an Edge-Cloud architecture for TO-BE machinery management.<\/span>\nObject detection models based on YOLOv11 and Faster R-CNN were developed and tested for identifying contaminants, deformations, and content anomalies on glass and tin containers. The YOLO models were subsequently optimized through TensorRT for execution on NVIDIA Jetson AGX Orin, making inference compatible with real-time automatic inspection scenarios.\nIn parallel, we analyzed the existing Rayonics architecture and proposed an edge-cloud evolutionary trajectory, with integration of sensors, edge gateways, data lakes, machine monitoring, and cloud services for remote monitoring and predictive maintenance. <\/p>","impatto":"

The project enabled validation of a technological foundation for the evolution of Rayonics systems toward more intelligent, autonomous, and scalable machines. The developed models achieved high performance in identifying anomalies on X-ray images following optimization on NVIDIA Jetson AGX Orin hardware. Beyond the Proof of Concept, we supported the company by transferring tools and expertise to generate new synthetic datasets, train new models, test new data, and replicate optimization activities. The Edge-Cloud roadmap defined in the project also offers a concrete direction for enabling real-time monitoring, predictive maintenance, structured data management, and new digital after-sales services. <\/p>","supporto_cim":"","gallery":[14157],"video_di_progetto":"","partners":[14132],"tecnologia":[9813,9814,9799],"competenza_in_campo":"AI for industrial vision, Edge AI, machine monitoring, technology roadmap, predictive maintenance"},"yoast_head":"\nCasi Studio - AI Edge and Data-Driven Architecture for X-Ray Food Inspection - CIM - Competence Center<\/title>\n<meta name=\"description\" content=\"Together with Rayonics, CIM has supported the evolution of industrial inspection systems toward computer vision models, edge inference, and structured machine data management.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Casi Studio - AI Edge and Data-Driven Architecture for X-Ray Food Inspection - CIM - Competence Center\" \/>\n<meta property=\"og:description\" content=\"Together with Rayonics, CIM has supported the evolution of industrial inspection systems toward computer vision models, edge inference, and structured machine data management.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/\" \/>\n<meta property=\"og:site_name\" content=\"CIM - Competence Center\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/cim40\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-07-09T09:52:49+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cim.eu\/wp-content\/uploads\/2026\/07\/ChatGPT-Image-9-lug-2026-10_39_50.png\" \/>\n\t<meta property=\"og:image:width\" content=\"1683\" \/>\n\t<meta property=\"og:image:height\" content=\"935\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\\\/\",\"url\":\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\\\/\",\"name\":\"Casi Studio - AI Edge and Data-Driven Architecture for X-Ray Food Inspection - CIM - Competence Center\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/cim.eu\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/ChatGPT-Image-9-lug-2026-10_39_50.png\",\"datePublished\":\"2026-07-09T08:40:14+00:00\",\"dateModified\":\"2026-07-09T09:52:49+00:00\",\"description\":\"Together with Rayonics, CIM has supported the evolution of industrial inspection systems toward computer vision models, edge inference, and structured machine data management.\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\\\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\\\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\\\/#primaryimage\",\"url\":\"https:\\\/\\\/cim.eu\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/ChatGPT-Image-9-lug-2026-10_39_50.png\",\"contentUrl\":\"https:\\\/\\\/cim.eu\\\/wp-content\\\/uploads\\\/2026\\\/07\\\/ChatGPT-Image-9-lug-2026-10_39_50.png\",\"width\":1683,\"height\":935},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\\\/\\\/cim.eu\\\/en\\\/skills-for-industry-and-manufacturing\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Case studies\",\"item\":\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"AI Edge and Data-Driven Architecture for X-Ray Food Inspection\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/#website\",\"url\":\"https:\\\/\\\/cim.eu\\\/en\\\/\",\"name\":\"CIM\",\"description\":\"Competenze per Industria e Manifattura\",\"publisher\":{\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/cim.eu\\\/en\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/#organization\",\"name\":\"CIM\",\"url\":\"https:\\\/\\\/cim.eu\\\/en\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/cim.eu\\\/wp-content\\\/uploads\\\/2025\\\/09\\\/Logo-di-CIM.svg\",\"contentUrl\":\"https:\\\/\\\/cim.eu\\\/wp-content\\\/uploads\\\/2025\\\/09\\\/Logo-di-CIM.svg\",\"width\":100,\"height\":28,\"caption\":\"CIM\"},\"image\":{\"@id\":\"https:\\\/\\\/cim.eu\\\/en\\\/#\\\/schema\\\/logo\\\/image\\\/\"},\"sameAs\":[\"https:\\\/\\\/www.facebook.com\\\/cim40\\\/\",\"https:\\\/\\\/www.instagram.com\\\/cim4.0_competencecenter\\\/\",\"https:\\\/\\\/it.linkedin.com\\\/company\\\/cim4-0\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Casi Studio - AI Edge and Data-Driven Architecture for X-Ray Food Inspection - CIM - Competence Center","description":"Together with Rayonics, CIM has supported the evolution of industrial inspection systems toward computer vision models, edge inference, and structured machine data management.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/","og_locale":"en_US","og_type":"article","og_title":"Casi Studio - AI Edge and Data-Driven Architecture for X-Ray Food Inspection - CIM - Competence Center","og_description":"Together with Rayonics, CIM has supported the evolution of industrial inspection systems toward computer vision models, edge inference, and structured machine data management.","og_url":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/","og_site_name":"CIM - Competence Center","article_publisher":"https:\/\/www.facebook.com\/cim40\/","article_modified_time":"2026-07-09T09:52:49+00:00","og_image":[{"width":1683,"height":935,"url":"https:\/\/cim.eu\/wp-content\/uploads\/2026\/07\/ChatGPT-Image-9-lug-2026-10_39_50.png","type":"image\/png"}],"twitter_card":"summary_large_image","schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/","url":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/","name":"Casi Studio - AI Edge and Data-Driven Architecture for X-Ray Food Inspection - CIM - Competence Center","isPartOf":{"@id":"https:\/\/cim.eu\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/#primaryimage"},"image":{"@id":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/#primaryimage"},"thumbnailUrl":"https:\/\/cim.eu\/wp-content\/uploads\/2026\/07\/ChatGPT-Image-9-lug-2026-10_39_50.png","datePublished":"2026-07-09T08:40:14+00:00","dateModified":"2026-07-09T09:52:49+00:00","description":"Together with Rayonics, CIM has supported the evolution of industrial inspection systems toward computer vision models, edge inference, and structured machine data management.","breadcrumb":{"@id":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/#primaryimage","url":"https:\/\/cim.eu\/wp-content\/uploads\/2026\/07\/ChatGPT-Image-9-lug-2026-10_39_50.png","contentUrl":"https:\/\/cim.eu\/wp-content\/uploads\/2026\/07\/ChatGPT-Image-9-lug-2026-10_39_50.png","width":1683,"height":935},{"@type":"BreadcrumbList","@id":"https:\/\/cim.eu\/en\/case-studies\/ai-edge-and-data-driven-architecture-for-x-ray-food-inspection\/#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/cim.eu\/en\/skills-for-industry-and-manufacturing\/"},{"@type":"ListItem","position":2,"name":"Case studies","item":"https:\/\/cim.eu\/en\/case-studies\/"},{"@type":"ListItem","position":3,"name":"AI Edge and Data-Driven Architecture for X-Ray Food Inspection"}]},{"@type":"WebSite","@id":"https:\/\/cim.eu\/en\/#website","url":"https:\/\/cim.eu\/en\/","name":"CIM","description":"Competenze per Industria e Manifattura","publisher":{"@id":"https:\/\/cim.eu\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/cim.eu\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Organization","@id":"https:\/\/cim.eu\/en\/#organization","name":"CIM","url":"https:\/\/cim.eu\/en\/","logo":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/cim.eu\/en\/#\/schema\/logo\/image\/","url":"https:\/\/cim.eu\/wp-content\/uploads\/2025\/09\/Logo-di-CIM.svg","contentUrl":"https:\/\/cim.eu\/wp-content\/uploads\/2025\/09\/Logo-di-CIM.svg","width":100,"height":28,"caption":"CIM"},"image":{"@id":"https:\/\/cim.eu\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/cim40\/","https:\/\/www.instagram.com\/cim4.0_competencecenter\/","https:\/\/it.linkedin.com\/company\/cim4-0"]}]}},"_links":{"self":[{"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/case-study\/14156","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/case-study"}],"about":[{"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/types\/case-study"}],"acf:post":[{"embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/tecnologie\/9799"},{"embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/tecnologie\/9814"},{"embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/tecnologie\/9813"},{"embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/partners\/14132"}],"acf:attachment":[{"embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/media\/14157"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/media\/14158"}],"wp:attachment":[{"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/media?parent=14156"}],"wp:term":[{"taxonomy":"annualita","embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/annualita?post=14156"},{"taxonomy":"area-di-intervento","embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/area-di-intervento?post=14156"},{"taxonomy":"area_tecnologica","embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/area_tecnologica?post=14156"},{"taxonomy":"settore","embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/settore?post=14156"},{"taxonomy":"tecnologia-abilitante","embeddable":true,"href":"https:\/\/cim.eu\/en\/wp-json\/wp\/v2\/tecnologia-abilitante?post=14156"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}