Video surveillance cameras are generating data at an astonishing rate. By 2020, “video surveillance data is expected to reach approximately 3.3 trillion hours globally,” according to Security Today. And with new video analytics software, this data can be endlessly analyzed for countless purposes, including facial recognition, anomaly detection, and instant event search.
It might come as a surprise then, that “54 percent of federal video surveillance data goes unanalyzed,” according to a study by EMC Corp. The study surveyed 151 federal decision makers about video surveillance technology, with an even spilt between physical security and IT managers. With all this data going unanalyzed, it’s evident that great intra-agency collaboration is needed. Without it, critical data is essentially going to waste. Below are a few of the video surveillance strategy trends that surveyed decision makers noted in the study.
Federal Video Surveillance Strategies
The study revealed that a disconnect between physical security and IT managers may be responsible for the lack of video data analysis. “76 percent of physical security managers vs. 33 percent of IT managers believe the responsibility [of managing their agency’s video surveillance infrastructure] is shared between the two departments.” Reconciling these differences is key to moving forward with improved video surveillance strategies.
The huge quantity of video surveillance data being produced requires an advanced infrastructure to handle it. However, the vast majority of agency decision-makers felt that their current infrastructures were unable to handle this volume of data. “Over the next five years, 91 percent believe storage needs to increase, 89 percent believe computing power needs to increase, and 84 percent believe personnel needs to increase, in order to adapt and handle the oncoming growth,” says Security Today.
One area in which federal agencies are pushing forward is in maximizing insights possible with video surveillance data by using edge-to-core technologies. The concept of edge-to-core is essentially the idea of the assimilation of video data from a variety of different sources into one central node, from which it can be easily viewed and analyzed. “74 percent of survey respondents operate an enterprise approach, including an edge-to-core architecture for video surveillance.”
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