{"version":"1.0","provider_name":"老澳门开奖结果","provider_url":"https:\/\/www.aclu.org","author_name":"老澳门开奖结果","author_url":"https:\/\/www.aclu.org","title":"The Dawn of Robot Surveillance | 老澳门开奖结果","type":"rich","width":600,"height":338,"html":"<blockquote class=\"wp-embedded-content\" data-secret=\"BDWZs1kcIy\"><a href=\"https:\/\/www.aclu.org\/publications\/dawn-robot-surveillance\">The Dawn of Robot Surveillance<\/a><\/blockquote><iframe sandbox=\"allow-scripts\" security=\"restricted\" src=\"https:\/\/www.aclu.org\/publications\/dawn-robot-surveillance\/embed#?secret=BDWZs1kcIy\" width=\"600\" height=\"338\" title=\"&#8220;The Dawn of Robot Surveillance&#8221; &#8212; 老澳门开奖结果\" data-secret=\"BDWZs1kcIy\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" class=\"wp-embedded-content\"><\/iframe><script type=\"text\/javascript\">\n\/* <![CDATA[ *\/\n\/*! This file is auto-generated *\/\n!function(d,l){\"use strict\";l.querySelector&&d.addEventListener&&\"undefined\"!=typeof URL&&(d.wp=d.wp||{},d.wp.receiveEmbedMessage||(d.wp.receiveEmbedMessage=function(e){var t=e.data;if((t||t.secret||t.message||t.value)&&!\/[^a-zA-Z0-9]\/.test(t.secret)){for(var s,r,n,a=l.querySelectorAll('iframe[data-secret=\"'+t.secret+'\"]'),o=l.querySelectorAll('blockquote[data-secret=\"'+t.secret+'\"]'),c=new RegExp(\"^https?:$\",\"i\"),i=0;i<o.length;i++)o[i].style.display=\"none\";for(i=0;i<a.length;i++)s=a[i],e.source===s.contentWindow&&(s.removeAttribute(\"style\"),\"height\"===t.message?(1e3<(r=parseInt(t.value,10))?r=1e3:~~r<200&&(r=200),s.height=r):\"link\"===t.message&&(r=new URL(s.getAttribute(\"src\")),n=new URL(t.value),c.test(n.protocol))&&n.host===r.host&&l.activeElement===s&&(d.top.location.href=t.value))}},d.addEventListener(\"message\",d.wp.receiveEmbedMessage,!1),l.addEventListener(\"DOMContentLoaded\",function(){for(var e,t,s=l.querySelectorAll(\"iframe.wp-embedded-content\"),r=0;r<s.length;r++)(t=(e=s[r]).getAttribute(\"data-secret\"))||(t=Math.random().toString(36).substring(2,12),e.src+=\"#?secret=\"+t,e.setAttribute(\"data-secret\",t)),e.contentWindow.postMessage({message:\"ready\",secret:t},\"*\")},!1)))}(window,document);\n\/* ]]> *\/\n<\/script>\n","description":"Imagine a surveillance camera in a typical convenience store in the 1980s. That camera was big and expensive, and connected by a wire running through the wall to a VCR sitting in a back room. There have been significant advances in camera technology in the ensuing decades \u2014 in resolution, digitization, storage, and wireless transmission \u2014 and cameras have become cheaper and far more prevalent. Still, for all those advances, the social implications of being recorded have not changed: when we walk into a store, we generally expect that the presence of cameras won\u2019t affect us. We expect that our movements will be recorded, and we might feel self-conscious if we notice a camera, especially if we\u2019re doing anything that we feel might attract attention. But unless something dramatic occurs, we generally understand that the videos in which we appear are unlikely to be scrutinized or monitored. All that is about to change.  Today\u2019s capture-and-store video systems are starting to be augmented with active monitoring technology known variously as \u201cvideo analytics,\u201d \u201cintelligent video analytics,\u201d or \u201cvideo content analysis.\u201d The goal of this technology is to allow computers not just to record but also to understand the objects and actions that a camera is capturing. This can be used to alert the authorities when something or someone deemed \u201csuspicious\u201d is detected, or to collect detailed information about video subjects for security or marketing purposes. Behind all the dumb video camera \u201ceyes\u201d that record us will increasingly lie ever-smarter \u201cbrains\u201d that will be monitoring us. As we will see, technologists are working on teaching computers to do that monitoring in remarkable ways across a broad variety of dimensions."}