{"id":9041,"date":"2025-09-01T15:56:20","date_gmt":"2025-09-01T13:56:20","guid":{"rendered":"https:\/\/cim.eu\/casi-studio\/ai-for-context-recognition\/"},"modified":"2026-01-12T11:51:02","modified_gmt":"2026-01-12T10:51:02","slug":"ai-for-context-recognition","status":"publish","type":"case-study","link":"https:\/\/cim.eu\/en\/case-studies\/ai-for-context-recognition\/","title":{"rendered":"AI for Context Recognition"},"content":{"rendered":" \n

Funded by the European Union \u2013 Next Generation EU<\/em><\/p> \n\r\n

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\"\"\/<\/figure> \n<\/div>\r\n<\/div>\r\n","protected":false},"featured_media":9042,"template":"","annualita":[182],"area-di-intervento":[260],"area_tecnologica":[177],"settore":[188],"tecnologia-abilitante":[190],"class_list":["post-9041","case-study","type-case-study","status-publish","has-post-thumbnail","hentry","annualita-23-26","area-di-intervento-product","area_tecnologica-digital-factory","settore-services","tecnologia-abilitante-artificial-intelligence-computer-vision-machine-vision"],"acf":{"proponente":"Monitor The Planet","descrizione_breve":"Automate the process of anomaly detection and inspection of civil infrastructures or construction sites","logo_finanziatore":"","importo_finanziato":"","contesto":"The construction sector presents complex operational scenarios, characterized by the simultaneous presence of vehicles, equipment, and constantly moving safety barriers. In this context, monitoring construction site activities and safety conditions is particularly challenging, especially in environments subject to environmental variables. ","soluzione":"The Proof of Concept developed consists of creating an AI model based on instance segmentation algorithms for the automatic recognition of various construction vehicles and types of safety barriers.\n The system operates in real-time on images captured by the camera and is capable of accurately identifying objects in complex and dynamic scenarios. The developed architecture ensures high accuracy and easy integration with autonomous mobile platforms, thus providing a solid foundation for monitoring and safety applications in construction sites. ","impatto":"The project demonstrated the technical feasibility of an advanced system for the automatic recognition of vehicles and barriers in construction sites through the use of instance segmentation. The entire process highlighted a strong ability to adapt to the real operational needs of the construction sector.<\/span> <\/span>The choice of the final model ensured high accuracy, allowing precise recognition even in complex scenarios. <\/span>A<\/span> scalable system ready to be further optimized and integrated into production contexts. <\/span> ","supporto_cim":"CIM4.0 supported the company in the feasibility study, in particular:\n\n\u00a0\n
    \n \t
  • Context analysis and fine-tuning<\/li>\n \t
  • Data collection and analysis<\/li>\n \t
  • Laboratory experimentation of AI-based models<\/li>\n<\/ul>","gallery":"","video_di_progetto":"","partners":[3986],"tecnologia":"","competenza_in_campo":"Context analysis and fine-tuning, data collection and analysis, laboratory experimentation of AI-based models"},"yoast_head":"\nCasi Studio - AI for Context Recognition - CIM<\/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:\/\/cim.eu\/en\/case-studies\/ai-for-context-recognition\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Casi Studio - AI for Context Recognition - CIM\" \/>\n<meta property=\"og:description\" content=\" Funded by the European Union \u2013 Next Generation EU \" \/>\n<meta property=\"og:url\" content=\"https:\/\/cim.eu\/en\/case-studies\/ai-for-context-recognition\/\" \/>\n<meta property=\"og:site_name\" content=\"CIM\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/cim40\/\" \/>\n<meta property=\"article:modified_time\" content=\"2026-01-12T10:51:02+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/cim.eu\/wp-content\/uploads\/2025\/10\/immagini-schede-progetti-sito-web-10.png\" \/>\n\t<meta property=\"og:image:width\" content=\"2000\" \/>\n\t<meta property=\"og:image:height\" content=\"1000\" \/>\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-for-context-recognition\\\/\",\"url\":\"https:\\\/\\\/cim.eu\\\/en\\\/case-studies\\\/ai-for-context-recognition\\\/\",\"name\":\"Casi Studio - 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