{"id":5985,"date":"2021-09-21T18:22:20","date_gmt":"2021-09-21T18:22:20","guid":{"rendered":"https:\/\/iatechcenter.com\/?p=5985"},"modified":"2021-09-21T18:22:20","modified_gmt":"2021-09-21T18:22:20","slug":"dow-uses-vision-ai-at-the-edge-to-boost-employee-safety-and-security-with-azure","status":"publish","type":"post","link":"https:\/\/iatechcenter.com\/?p=5985","title":{"rendered":"Dow uses vision AI at the edge to boost employee safety and security with Azure"},"content":{"rendered":"<p>Dow is a leader in materials science, focused on delivering innovative and sustainable customer-centric solutions. An important priority for the chemical company is safety, and Microsoft Azure played a crucial role in enabling preventative leak detection with the goal of zero safety-related events at its facilities. The initial solution leverages Azure AI to analyze live video and uses an app to trigger notifications to the operator if it detects a possible leak. Azure Video Analyzer, coupled with Azure DevOps, provided a quick, low-latency, low-resource, and easily scalable solution. Machine learning ensures the model is continually refined, so it gets better with each interaction. Best of all, this model can be leveraged for other applications, such as detecting when employees aren&#8217;t wearing proper PPE in industrial locations, and security monitoring.<\/p>\n<p><a href=\"https:\/\/stuf.in\/b7b9fm\" target=\"_blank\" rel=\"noopener\">Read More&#8230;<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Dow is a leader in materials science, focused on delivering innovative and sustainable customer-centric solutions. An important priority for the chemical company is safety, and Microsoft Azure played a crucial role in enabling preventative leak detection with the goal of zero safety-related events at its facilities. The initial solution leverages Azure AI to analyze live video and uses an app to trigger notifications to the operator if it detects a possible leak. Azure Video Analyzer, coupled with Azure DevOps, provided a quick, low-latency, low-resource, and easily scalable solution. Machine learning ensures the model is continually refined, so it gets better with each interaction. <\/p>\n<p>Best of all, this model can be leveraged for other applications, such as detecting when employees aren&#8217;t wearing proper PPE in industrial locations, and security monitoring.<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_mo_disable_npp":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-5985","post","type-post","status-publish","format-standard","hentry","category-uncategorized","blog-post","no-post-thumbnail","animate"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.4 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Dow uses vision AI at the edge to boost employee safety and security with Azure &#8211; Interactive America, Inc.<\/title>\n<meta name=\"robots\" content=\"noindex, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Dow uses vision AI at the edge to boost employee safety and security with Azure &#8211; Interactive America, Inc.\" \/>\n<meta property=\"og:description\" content=\"Dow is a leader in materials science, focused on delivering innovative and sustainable customer-centric solutions. An important priority for the chemical company is safety, and Microsoft Azure played a crucial role in enabling preventative leak detection with the goal of zero safety-related events at its facilities. The initial solution leverages Azure AI to analyze live video and uses an app to trigger notifications to the operator if it detects a possible leak. Azure Video Analyzer, coupled with Azure DevOps, provided a quick, low-latency, low-resource, and easily scalable solution. Machine learning ensures the model is continually refined, so it gets better with each interaction.  Best of all, this model can be leveraged for other applications, such as detecting when employees aren&#039;t wearing proper PPE in industrial locations, and security monitoring.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/iatechcenter.com\/?p=5985\" \/>\n<meta property=\"og:site_name\" content=\"Interactive America, Inc.\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/iainc.org\/\" \/>\n<meta property=\"article:published_time\" content=\"2021-09-21T18:22:20+00:00\" \/>\n<meta name=\"author\" content=\"gkarlwalker\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"gkarlwalker\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"1 minute\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/iatechcenter.com\\\/?p=5985#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/iatechcenter.com\\\/?p=5985\"},\"author\":{\"name\":\"gkarlwalker\",\"@id\":\"https:\\\/\\\/iatechcenter.com\\\/#\\\/schema\\\/person\\\/bfc7e1876c2b33592a99625530a60854\"},\"headline\":\"Dow uses vision AI at the edge to boost employee safety and security with Azure\",\"datePublished\":\"2021-09-21T18:22:20+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/iatechcenter.com\\\/?p=5985\"},\"wordCount\":147,\"publisher\":{\"@id\":\"https:\\\/\\\/iatechcenter.com\\\/#organization\"},\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/iatechcenter.com\\\/?p=5985\",\"url\":\"https:\\\/\\\/iatechcenter.com\\\/?p=5985\",\"name\":\"Dow uses vision AI at the edge to boost employee safety and security with Azure &#8211; 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