{"id":5085,"date":"2018-03-02T04:15:49","date_gmt":"2018-03-01T20:15:49","guid":{"rendered":"https:\/\/blogs.msdn.microsoft.com\/vsnews\/?p=5085"},"modified":"2018-03-02T04:15:49","modified_gmt":"2018-03-01T20:15:49","slug":"mn21dr","status":"publish","type":"post","link":"https:\/\/devblogs.microsoft.com\/vsnews\/akams-mn21dr\/","title":{"rendered":"Using AI to automatically redact faces in videos"},"content":{"rendered":"<p>In the last few years, many law enforcement agencies have adopted body worn cameras. In this blog post, I will provide some background on what is driving the growth and will talk about how AI can help law enforcement agencies with the processing of videos captured by body-worn cameras.<\/p>\n<p>Background on body-worn cameras<\/p>\n<p>A body worn camera is a wearable audio, video or photographic recording system. Law enforcement agencies are not the only consumers of body-worn cameras. Other consumers include journalists, medical professionals, athletes, and so on. The forecast unit shipments of body-worn cameras can be seen on this webpage published by Statista.<\/p>\n<p>The National Institute of Justice (NIJ), the research, development and evaluation agency of the US Department of Justice, conducted research on body-worn cameras for law enforcement and conducted a market survey on body-worn cameras for criminal justice. The survey updated in 2016, aggregates and summarizes information on a number of makes and models of body-worn cameras available today, including the approximate costs of each unit. The full market survey on body-worn camera technologies can be found on NIJ\u2019s website.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the last few years, many law enforcement agencies have adopted body worn cameras. In this blog post, I will provide some background on what is driving the growth and will talk about how AI can help law enforcement agencies with the processing of videos captured by body-worn cameras. Background on body-worn cameras A body [&hellip;]<\/p>\n","protected":false},"author":38,"featured_media":8227,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[3,8],"tags":[],"class_list":["post-5085","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-allskus","category-vs4mac"],"acf":[],"blog_post_summary":"<p>In the last few years, many law enforcement agencies have adopted body worn cameras. In this blog post, I will provide some background on what is driving the growth and will talk about how AI can help law enforcement agencies with the processing of videos captured by body-worn cameras. Background on body-worn cameras A body [&hellip;]<\/p>\n","_links":{"self":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts\/5085","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/users\/38"}],"replies":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/comments?post=5085"}],"version-history":[{"count":0,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/posts\/5085\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/media\/8227"}],"wp:attachment":[{"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/media?parent=5085"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/categories?post=5085"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/devblogs.microsoft.com\/vsnews\/wp-json\/wp\/v2\/tags?post=5085"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}