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AWS DeepLens is a wireless video camera and development platform integrated with the AWS Cloud. It lets you use the latest Artificial Intelligence (AI) tools and technology to develop computer vision applications based on a deep learning model. Through examples and tutorials, AWS DeepLens gives you hands-on experience using a physical camera to run real-time computer vision models.

The AWS DeepLens camera, or device, uses deep convolutional neural networks (CNNs) to analyze visual imagery. You use the device as a development environment to build computer vision applications.

AWS DeepLens works with the following AWS services:

• Amazon SageMaker, for model training and validation

• AWS Lambda, for running inference against CNN models

• AWS Greengrass, for deploying updates and functions to your device

Get started with AWS DeepLens by using any of the pretrained models that come with your device. As you become proficient, you can develop, train, and deploy your own models.

AWS DeepLens Hardware

The AWS DeepLens camera includes the following:

• A 4-megapixel camera with MJPEG (Motion JPEG)

• 8 GB of on-board memory

• 16 GB of storage capacity

• A 32-GB SD (Secure Digital) card

• WiFi support for both 2.4 GHz and 5 GHz standard dual-band networking

• A micro HDMI display port

• Audio out and USB ports

The AWS DeepLens camera is powered by an Intel Atom processor, which can process 100 billion floating-point operations per second (GFLOPS). This gives you all of the compute power that you need to perform inference on your device. The micro HDMI display port, audio out, and USB ports allow you to attach peripherals, so you can get creative with your computer vision applications.