Video surveillance driving big data
- By Defense Systems Staff
- Oct 10, 2013
The proliferation of high-definition surveillance cameras has generated an “extraordinary deluge of data,” according to a survey of the enterprise and IP storage market.
Market researcher IHS estimates that HD surveillance cameras are generating an astounding 413 petabytes, or quadrillion bytes, a day. With shipments of HD surveillance expected to grow, the data dump is forecast to double to 859 petabytes by 2017, IHS estimates.
The flood of data from HD surveillance and other sensors is also expected to propel technologies designed to process big data for surveillance and other markets. As HD replaces standard resolution surveillance cameras, “the quantity of data generated by the surveillance market is growing to massive proportions,” IHS analyst Sam Grinter said.
The data deluge has spurred adoption of new big data technologies compression algorithms used to squeeze the amount of data generated by cameras and other sensors. For example, the new High Efficiency Video Coding standard is expected to double data compression rates, thereby managing the amount of data produced by HD surveillance cameras.
Storage capacity on hard disk drives is also increasing, making it easier to record more surveillance data either locally or via networks, IHS said.
Still, the data deluge for other sensors is expected to sky rocket as machine-to-machine networking, or the Internet of Things, continues to expand. Once rules are in place for operating commercial drones, the airborne platforms are also expected to add to the sensor data flood.