{"id":315823,"date":"2025-12-03T13:11:43","date_gmt":"2025-12-03T12:11:43","guid":{"rendered":"https:\/\/www.unipi.it\/news\/sensori-e-intelligenza-artificiale-per-la-sicurezza-dei-lavoratori\/"},"modified":"2025-12-11T13:06:48","modified_gmt":"2025-12-11T12:06:48","slug":"sensors-and-artificial-intelligence-for-worker-safety","status":"publish","type":"news","link":"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/","title":{"rendered":"Sensors and Artificial Intelligence for worker safety"},"content":{"rendered":"

On 3 December, the University of Pisa presented AISAFETY<\/strong>, a supervision system that combines sensors, cameras and artificial intelligence to enhance the safety of workers operating machinery and production systems<\/strong>. At the Navacchio Technology Park, a small production setup \u2014 consisting of a lathe and a robot \u2014 was installed to demonstrate the new system.
\n\u201cIn industrial settings,\u201d explains Paolo Nepa, Professor of Engineering in the field of Electromagnetic Fields at the University of Pisa, \u201cmany accidents involving machine operators are in some way linked to operator behaviour. AISAFETY can be integrated into existing machinery to reduce risks<\/strong> caused by errors or tampering and to ensure that operators can work safely.\u201d<\/p>\n

\"\"<\/p>\n

To develop an effective device, the researchers integrated several technologies: a radio-frequency system capable of detecting the positions of people and objects; computer vision to observe and analyse the work area and the machine; and finally an artificial intelligence module that gathers data from the first two components and identifies potential risk situations for personnel linked to errors or tampering.<\/p>\n

\u201cIn the event of a risk,\u201d says Roberto Gabbrielli, Professor of Mechanical Industrial Plants at the University of Pisa and coordinator of the project, \u201cthe AI module activates stop commands on the production system to bring it to a safe state. The supervision system also sends notifications to workers\u2019 smartphones, advising them not to proceed with the operation in order to reduce their exposure to risk.\u201d<\/p>\n

The AISAFETY project (\u201cSmart integrated system based on artificial intelligence for managing operator safety in production processes\u201d) is co-financed by INAIL under the BRiC calls, and involves collaboration between the University of Pisa, the University of Perugia and the CNR<\/p>\n

\"\"
UNIPI working group: from left, Andrea Motroni, Marco Palumbo, Paolo Bolettieri, Paolo Nepa, Roberto Gabbrielli, Emanuele Tavanti<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"

AISAFETY is a supervision system designed to prevent accidents involving machinery. It can also be installed on existing equipment to reduce risks linked to operator error or tampering<\/p>\n","protected":false},"featured_media":312818,"menu_order":3,"template":"","format":"standard","meta":[],"tag-notizie-persone":[2611,2610],"tags_news":[2596,2307],"categorie":[159],"class_list":["post-315823","news","type-news","status-publish","format-standard","has-post-thumbnail","hentry","tag-notizie-persone-paolo-nepa","tag-notizie-persone-roberto-gabbrielli","tags_news-artificial-intelligence","tags_news-society","categorie-unipinews-en"],"yoast_head":"\nSensors and Artificial Intelligence for worker safety ~ UNIPI<\/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:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Sensors and Artificial Intelligence for worker safety ~ UNIPI\" \/>\n<meta property=\"og:description\" content=\"AISAFETY is a supervision system designed to prevent accidents involving machinery. It can also be installed on existing equipment to reduce risks linked to operator error or tampering\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/\" \/>\n<meta property=\"og:site_name\" content=\"UNIPI\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/unipisaofficial\/\" \/>\n<meta property=\"article:modified_time\" content=\"2025-12-11T12:06:48+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.unipi.it\/wp-content\/uploads\/AISAFETY.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"900\" \/>\n\t<meta property=\"og:image:height\" content=\"604\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/\",\"url\":\"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/\",\"name\":\"Sensors and Artificial Intelligence for worker safety ~ UNIPI\",\"isPartOf\":{\"@id\":\"https:\/\/www.unipi.it\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.unipi.it\/wp-content\/uploads\/AISAFETY.jpeg\",\"datePublished\":\"2025-12-03T12:11:43+00:00\",\"dateModified\":\"2025-12-11T12:06:48+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/#primaryimage\",\"url\":\"https:\/\/www.unipi.it\/wp-content\/uploads\/AISAFETY.jpeg\",\"contentUrl\":\"https:\/\/www.unipi.it\/wp-content\/uploads\/AISAFETY.jpeg\",\"width\":900,\"height\":604},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\",\"item\":\"https:\/\/www.unipi.it\/en\/home\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"News\",\"item\":\"https:\/\/www.unipi.it\/en\/news\/\"},{\"@type\":\"ListItem\",\"position\":3,\"name\":\"Sensors and Artificial Intelligence for worker safety\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.unipi.it\/en\/#website\",\"url\":\"https:\/\/www.unipi.it\/en\/\",\"name\":\"UNIPI\",\"description\":\"UNIPI\",\"publisher\":{\"@id\":\"https:\/\/www.unipi.it\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.unipi.it\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.unipi.it\/en\/#organization\",\"name\":\"UNIPI\",\"url\":\"https:\/\/www.unipi.it\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.unipi.it\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.unipi.it\/wp-content\/uploads\/Raggruppa-3020.svg\",\"contentUrl\":\"https:\/\/www.unipi.it\/wp-content\/uploads\/Raggruppa-3020.svg\",\"width\":176,\"height\":64,\"caption\":\"UNIPI\"},\"image\":{\"@id\":\"https:\/\/www.unipi.it\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/unipisaofficial\/\",\"https:\/\/www.instagram.com\/unipisa\/\"]}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Sensors and Artificial Intelligence for worker safety ~ UNIPI","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:\/\/www.unipi.it\/en\/news\/sensors-and-artificial-intelligence-for-worker-safety\/","og_locale":"en_US","og_type":"article","og_title":"Sensors and Artificial Intelligence for worker safety ~ UNIPI","og_description":"AISAFETY is a supervision system designed to prevent accidents involving machinery. 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