Eagle Eye Networks Announces Cloud Video API which Scales to Big Data Analytics

Eagle Eye Networks LogoEagle Eye Networks, Inc., provider of a cloud managed, on-demand security and operations video management system, today announced the Eagle Eye Video API, targeted at businesses and developers integrating video into their applications.  The Eagle Eye Video API provides a robust set of storage, analytics, indexing, and interfaces for quickly building or integrating applications with both live and recorded video; the applications can range from very simple or highly complex.

The video surveillance market is expected to grow at a compound annual growth rate (CAGR) of 19.1% through 2019, reaching more than $42 billion, according to Transparency Market Research.

It’s been estimated that less than 1% of this video is ever used.  Due to the extraordinary volume and variety of data, the video has been hard to access, and difficult to search and manipulate.  As a result, the number of applications built utilizing surveillance video has been modest.

“Streaming video from cameras is an under-utilized resource,” said Dean Drako, President and CEO of Eagle Eye Networks. “The Eagle Eye Video API dramatically changes this, allowing developers to fully harness video content in their applications without having to worry about a complex infrastructure, in the same way that Twilio allows them to easily incorporate voice, VoIP and SMS.”

Traditional video management system integrations require developers and integrators to purchase and install servers, storage, and software, plus hire staff to assemble and maintain the infrastructure before they can begin development.

The cloud Eagle Eye Video API, accessed through a simple-to-use RESTful Application Programming Interface (API), completely eliminates this overhead. Its RESTful API approach is easy to use, scalable, secure, reliable, and redundant.

The Eagle Eye Video API can be used for integration, analysis, big data research, and development of new applications. Eagle Eye does the heavy lifting of capturing, storing, and indexing the video and events.

The platform uses the Eagle Eye Big Data Video Framework™, with time based data structures for indexing, search, retrieval and analysis of the video. It then offers API access to integrate alerts, user interfaces, applications, and analysis ranging from simple searches to Big Data analytics.

About Bryan Menell

Bryan is the Managing Editor for AustinStartup and the CEO of Mahana. He is a co-founder of Capital Factory, an investor and advisor, and runs the popular Austin Tech Happy Hour with his wife.

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