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48 SECURIT Y TECHNOLOGY E XECUTIVE • September/October 2017 • www. SecurityInfoWatch.com VIDEO TECHNOLOGY I n 2013, IHS Inc. (NYSE: IHS) announced that HD video surveillance was generating an aston- ishing 413 petabytes of data a day. By 2015, that number had jumped to 566 petabytes – the equivalent of 11.3 million standard double- layer Blu-ray movie discs. Today, even more massive amounts of video are being captured with higher resolution UHD and HD cameras equipped with intelligence to enable highly detailed information analysis. Now trending under the category of "Deep Learning ," intelligent audio and video analytics solutions are being used to identify and notify systems operators of abnormal activities to provide predictive analysis. Following are some of the current technologies for analyzing captured video data and, by doing so, impact the design and application of today's more advanced surveillance solutions. Tampering Detection In television shows and movies where the storyline revolves around some criminal activity, it's com- mon to see the thief spray paint the lens of the video Video Surveillance Get Even More Intelligent Advanced technologies move the needle for cameras and storage options By Tom Cook Today, even more massive amounts of video are being captured with higher resolution UHD and HD cameras equipped with intelligence to enable highly detailed information analysis. Image Courtesy of ThinkStock.com surveillance camera in order to mask their activities. In reality, intelligent cameras can detect lost vision due to the lens being covered or the focus adjusted. Even slight changes in camera direction caused by wind or vibration can be detected with tampering detec- tion technology, causing an alarm to sound. Cameras can be programmed for various monitoring environ- ments including defining minimum detection time until sounding an alarm. Face Detection Face detection is a technology which identifies human faces by comparing captured images against an image data bank or watch list of known/wanted individu- als by identifying the key features of human faces. It requires a significant amount of video information which can be gained by collecting highly detailed