DeepLens AI Camera

Amazon Web Services introduced a new $249 camera called DeepLens AI

Intel and Amazon Web services have joined forces to create a new absolutely programmable deep studying-enabled wired-free video camera referred to as the DeepLens AI digicam which has been specially designed for developers. The new DeepLens AI camera was found out at some point of the re:Invent convention in Las Vegas by AWS CEO Andy Jassy. DeepLens has been created to provide builders of all ability tiers with the tools had to layout and create synthetic intelligence (AI) and machine gaining knowledge of merchandise, says Intel and Amazon.

The DeepLens AI camera is powered by using Intel Atom X5 processor supported with the aid of embedded images to offer the digicam with the capability to detect objects and popularity. the usage of Intel-Optimised deep mastering software equipment and libraries along with the Intel Compute Library for Deep Neural Networks, Intel clDNN. Apache MXNet is supported from these days, and Tensorflow and Caffe2 are expected to be supported in 2018’s first quarter. allowing the DeepLens digicam to run actual-time laptop imaginative and prescient models directly from the DeepLens AI digicam device for decreased fee and real-time responsiveness, says the improvement team.

DeepLens AI Camera

The camera is available for pre-order now and will ship next year, the company says.

It’s a boxy device that’s obviously designed with the AI tech in mind rather than looks or pure specs. The 4MP camera shoots 1080p HD video and is equipped with Wi-Fi, a micro SD slot, and 8 GB of memory.

The real reason developers will want the camera, of course, is for its AI tech. Built in are a set of pre-trained image recognition models that developers can use to create their own applications.

AWS has also introduced its Elemental Media Services, an integrated services package that makes it easy for video providers to create reliable, flexible and scalable video offers based in the cloud.

This stands to greatly reduce the barrier to entry for developers who want to work with artificial intelligence technology but may not have the resources on their own.