Deeplens, a Deep learning Enabled Wireless Video Camera from Intel

Published 2017-11-30 09:04 by Hilbert Hagedoorn

Amazon Web Services announced the 240 USD DeepLens, its first fully programmable, deep learning-enabled wireless video camera. AWS and Intel collaborated on the DeepLens camera to provide builders of all skill levels with the optimal tools needed to design and create artificial intelligence (AI) and machine learning products.

The Google Clips competitor has four micro HDMI and two USB ports, along with dual-band WiFi. It’s got an Intel Atom processor and 8GB of RAM inside, running Ubuntu. The camera itself is 4GB, capable of shooting in 1080p / 4 MPixels..

The pre-trained models that do all sorts of image recognition, including facial, cats and dogs and inanimate objects, including hot dogs, the company writes, winkingly. AWS provides an online template leveraging those technologies — it looks to be a fairly user friendly interface where developers can build on top of pre-configured projects and plug in various functionality. AI and machine learning are poised to power a new generation of smart industries, including smart homes, smart retail, smart industrial and many others, making lives easier through intelligent interactions with devices. This collaboration reinforces Intel’s commitment to providing developers with tools to create AI and machine learning products, and follows the recent introduction of the Intel® Speech Enabling Developer Kit, which provides a complete audio front-end solution for far-field voice control and makes it easier for third-party developers to accelerate the design of consumer products integrating Alexa Voice Service.

DeepLens combines high amounts of processing power with an easy-to-learn user interface to support the training and deployment of models in the cloud. Powered by an Intel® Atom® X5 processor with embedded graphics that support object detection and recognition, DeepLens uses Intel-optimized deep learning software tools and libraries (including the Intel Compute Library for Deep Neural Networks, Intel clDNN) to run real-time computer vision models directly on the device for reduced cost and real-time responsiveness.

“We are seeing a new wave of innovation throughout the smart home, triggered by advancements in artificial intelligence and machine learning,” said Miles Kingston, general manager of the Smart Home Group at Intel. “DeepLens brings together the full range of Intel’s hardware and software expertise to give developers a powerful tool to create new experiences, providing limitless potential for smart home integrations.”

Developers can start designing and creating AI and machine learning products in a matter of minutes using the preconfigured frameworks already on the device. Apache MXNet* is supported today, and Tensorflow* and Caffe2* will be supported in 2018’s first quarter.

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