Application of artificial intelligence (AI) and deep learning in the physical security market runs a gamut from cloud computing to edge computing. A variety of hardware solutions enable AI to be deployed at any level of a system from the cloud to edge devices such as security cameras.
Smarter AI-powered applications
A distributed structure can incorporate cloud computing and edge computing. It extends the Artificial Intelligence (AI) algorithm from the cloud, to an edge network of on-premises video recorders and servers, and further to edge devices like the security cameras. The three-layer architecture all supports the goal to build a new class of AI-powered applications, being even smarter and faster.
A combination of in-camera video analytics and deep learning capabilities in the cloud can improve video analyticsA combination of in-camera video analytics and deep learning capabilities in the cloud can improve video analytics. Cameras can be equipped with basic video analytics, and they are tied into a cloud infrastructure that provides additional deep learning algorithms. The cameras provide computer vision pre-processing, with the bulk of detailed analysis happening in a neural network in the cloud.