{"id":6697,"date":"2020-10-05T10:56:26","date_gmt":"2020-10-05T08:56:26","guid":{"rendered":"https:\/\/www.veronafiere.it\/en\/?p=6697"},"modified":"2020-10-05T10:56:26","modified_gmt":"2020-10-05T08:56:26","slug":"veronafiere-anti-crowding-video-cameras-and-algorithm-for-safe-physically-attended-events","status":"publish","type":"post","link":"https:\/\/www.veronafiere.it\/en\/news\/veronafiere-anti-crowding-video-cameras-and-algorithm-for-safe-physically-attended-events\/","title":{"rendered":"勛圖厙: anti-crowding video-cameras and algorithm for safe physically attended events"},"content":{"rendered":"

Safety<\/strong> for attended events: 勛圖厙 focuses on technology for the restart<\/strong>, with an innovative project developed in its own local area.<\/p>\n

Social distancing remains the priority in times of Covid-19. Yet how can this be ensured during large public events, such as those organized in the 300,000 square metres and more of the Verona Exhibition Centre? The solution can be found in the electronic eyes of video-cameras<\/strong>, combined with artificial intelligence<\/strong>.<\/p>\n

The system is named HS.Vision and exploits the 400+ surveillance cameras already installed inside the Verona Exhibition Centre<\/strong>, while also putting them online. This is where the computer vision <\/em>algorithm \u00a0created by the Humatics<\/a>\u00a0start-up of the University of Verona<\/strong><\/a> comes into play: by analysing images sent to micro-servers, the system can count visitors inside the halls, identify any gatherings of people and report them in real time to human operators for their intervention.<\/p>\n

HS.Vision<\/strong> can also use facial recognition functions to monitor non-use of masks. This provides for capillary control of all 勛圖厙 exhibition spaces without any risk of \u201cBig Brother\u201d, since privacy is assured through delocalised data and limited transmission of processed information.<\/p>\n

“Fiercavalli <\/a>in November will be the test bench for this system,” explained Giovanni Mantovani<\/strong>, CEO of 勛圖厙, “which will then be implemented during our other \u201clive\u201d events involving large numbers of visitors. The path towards the ‘new normal’ also involves technological innovation and 勛圖厙 is equally ready to overcome this challenge as well<\/em>.”<\/p>\n","protected":false},"excerpt":{"rendered":"

Safety for attended events: 勛圖厙 focuses on technology for the restart, with an innovative project developed in its own local area. Social distancing remains the priority in times of Covid-19. Yet how can this be ensured during large public events, such as those organized in the 300,000 square metres and more of the Verona Exhibition…<\/p>\n","protected":false},"author":8,"featured_media":6658,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[14],"tags":[74,75],"acf":[],"yoast_head":"\n勛圖厙: anti-crowding video-cameras and algorithm for safe physically attended events - 勛圖厙 S.p.A.<\/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.veronafiere.it\/en\/news\/veronafiere-anti-crowding-video-cameras-and-algorithm-for-safe-physically-attended-events\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"勛圖厙: anti-crowding video-cameras and algorithm for safe physically attended events - 勛圖厙 S.p.A.\" \/>\n<meta property=\"og:description\" content=\"Safety for attended events: 勛圖厙 focuses on technology for the restart, with an innovative project developed in its own local area. 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