{"id":85054,"date":"2020-04-15T15:51:24","date_gmt":"2020-04-15T13:51:24","guid":{"rendered":"https:\/\/territorialchallenges.com\/?p=85054"},"modified":"2020-04-16T14:56:20","modified_gmt":"2020-04-16T12:56:20","slug":"comment-transformer-sa-videosurveillance-en-capteurs-intelligents","status":"publish","type":"post","link":"https:\/\/territorialchallenges.com\/de\/2020\/04\/15\/comment-transformer-sa-videosurveillance-en-capteurs-intelligents\/85054\/","title":{"rendered":"So verwandeln Sie Ihre Video\u00fcberwachung in intelligente Sensoren"},"content":{"rendered":"

Kameras mit geschlossenem Kreislauf gibt es \u00fcberall, aber ihre M\u00f6glichkeiten sind immer noch begrenzt. Mithilfe von Software f\u00fcr maschinelles Lernen k\u00f6nnen sie jedoch in proaktive Tools f\u00fcr eine Reihe \u00f6ffentlicher Anwendungen umgewandelt werden, darunter Verkehrsmanagement und \u00f6ffentliche Sicherheit. Das Internet der Dinge ist ein hei\u00dfes Thema f\u00fcr St\u00e4dte\u2026 <\/p>\n

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Les cam\u00e9ras en circuit ferm\u00e9 sont partout, mais elles sont tout de m\u00eame limit\u00e9es dans ce qu’elles peuvent faire. Cependant, les logiciels d’apprentissage automatique peuvent les convertir en outils proactifs pour une gamme d’utilisations publiques, y compris la gestion du trafic et la s\u00e9curit\u00e9 publique. L’Internet des objets est un sujet br\u00fblant pour les villes... <\/p>\n

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