Exploring the Intersection of AI & Video Analytics

In this report, Ken Francis, President of Eagle Eye Networks discusses where AI-enhanced analytics are really making a difference (accuracy and ease of deployment) and how AI leveraging AI analytics in the cloud is “very simple for integrators to deploy. Analytics in the cloud literally can be turned off or on with a simple flip of the switch. Businesses can get valuable video analytics data from existing cameras by leveraging cloud video surveillance. There’s no need to stand up extra onsite peripheral equipment.” Read more about AI in the cloud in this story.

In recent years, disruptive and innovative technologies — namely artificial intelligence (AI), cloud computing and edge computing — in the video analytics arena has resulted in increasing demand for security and non-security applications.

Cloud-based video analytics help reduce overall costs as storage space and computing efforts are distributed over the cloud server. Edge-based video analytics help to process the data on-premises, thereby reducing bandwidth and cloud loads while accelerating the analysis process. With vendors and systems integrators helping end customers achieve newfound security and business intelligence capabilities, the overall marketplace is poised for significant growth. For instance, according to a report by MarketsandMarkets Research, the global video analytics market — estimated to be worth $7.1 billion in 2022 — is projected to increase to $20.3 billion by 2027. That amounts to a compound annual growth rate (CAGR) of 23.4 percent.

In the News

By  Rodney Bosch
Covered on these news sites. Click the image to read more.

Eagle Eye Networks

Since 2012, Eagle Eye Networks has provided smart cloud surveillance solutions, leveraging AI to drive natural language search, automation, and more. Eagle Eye’s camera-agnostic approach heightens security while saving money, time, and resources.