{"id":9061,"date":"2025-11-17T09:50:23","date_gmt":"2025-11-17T09:50:23","guid":{"rendered":"https:\/\/mpelembe.net\/?p=9061"},"modified":"2025-11-17T09:50:23","modified_gmt":"2025-11-17T09:50:23","slug":"attention-sharing-ai-distraction-detection-for-commercial-fleets","status":"publish","type":"post","link":"https:\/\/mpelembe.net\/index.php\/attention-sharing-ai-distraction-detection-for-commercial-fleets\/","title":{"rendered":"Attention Sharing: AI Distraction Detection for Commercial Fleets"},"content":{"rendered":"
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\u00a0Seeing Machines Limited, an Australian company specialising in computer vision technology for transport safety announced launch of its “attention sharing”\u00a0feature for the\u00a0Guardian Generation 3\u00a0safety solution, which is marketed to commercial vehicle fleets globally. This\u00a0world-first feature\u00a0tracks the cumulative time a driver spends with their eyes off the road, detecting repeated, short glances\u2014a major contributor to crash risk\u2014that other systems often miss. The\u00a0AI-powered technology\u00a0continuously monitors eye gaze direction in real time to provide\u00a0accurate distraction detection\u00a0and subsequent intervention before safety is compromised. The announcement highlights that the feature is being\u00a0deployed over-the-air\u00a0to existing Guardian Gen 3 systems and includes references to supporting\u00a0scientific studies on driver inattention. Continue reading<\/a><\/p>\n<\/div>\n

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\u00a0Seeing Machines Limited, an Australian company specialising in computer vision technology for transport safety announced launch of its “attention sharing”\u00a0feature for the\u00a0Guardian Generation 3\u00a0safetyRead More…<\/a><\/p>\n","protected":false},"author":1,"featured_media":9062,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"googlesitekit_rrm_CAowu7GVCw:productID":"","_crdt_document":"","activitypub_content_warning":"","activitypub_content_visibility":"","activitypub_max_image_attachments":3,"activitypub_interaction_policy_quote":"anyone","activitypub_status":"federated","footnotes":""},"categories":[13],"tags":[52,53,13871,54,10328,15497],"class_list":["post-9061","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-transport","tag-artificial-intelligence","tag-computational-neuroscience","tag-computer-monitor","tag-cybernetics","tag-data-science","tag-seeing-machines-limited"],"featured_image_src":"https:\/\/mpelembe.net\/wp-content\/uploads\/2025\/11\/Seeing_Machines_Logo_Logo.jpg","blog_images":{"medium":"https:\/\/mpelembe.net\/wp-content\/uploads\/2025\/11\/Seeing_Machines_Logo_Logo-300x56.jpg","large":"https:\/\/mpelembe.net\/wp-content\/uploads\/2025\/11\/Seeing_Machines_Logo_Logo.jpg"},"ams_acf":[],"yoast_head":"\nAttention Sharing: AI Distraction Detection for Commercial Fleets - Mpelembe Network<\/title>\n<meta name=\"description\" content=\"The technology portfolio of Seeing Machines, including this feature, is powered by AI algorithms, embedded processing, and optics, focusing on the critical measurement of where a driver is looking through to classification of their cognitive state as it applies to accident risk. 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