There’s a considerable number of technological changes occurring within the security industry and nowhere is this more evident than within the video surveillance market. Better video compression standards, higher megapixel cameras and greatly improved field of view are just a few of the changes that are driving better image quality, less bandwidth consumption and improved data.
The introduction of Artificial Intelligence (AI) into the surveillance industry has spurred an additional transformation, enabling cameras and video management systems to become faster and smarter. And thanks to AI, these devices and systems have a greater ability to mine data and turn that information into useful, actionable tasks. Here’s how AI is influencing the surveillance industry:
AI in the camera
The digitization of surveillance cameras first opened the door of possibilities with the introduction of IP-based cameras with higher megapixels. This was a game changer, taking video, that at one time could only be viewed at a central command center or through a digital video system, and made it accessible on nearly any network. This has evolved to now include video data easily being sent to the cloud for storage and analysis. The introduction of AI in cameras has taken things a step further, providing deep learning capabilities and the ability for cameras to analyze video without any human interaction. For example, AI powered facial recognition technology has begun to reshape the access control market. When integrated with an access control device, an AI powered camera with facial recognition technology can be used to detect faces and, in turn, provide a frictionless method for people to access a secure area.
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