AWS DeepLens is a deep learning–enabled camera that allows you to deploy trained models directly to the device. You can either use sample templates and recipes or train your own model.
AWS DeepLens is integrated with several AWS machine learning services and can perform local inference against deployed models provisioned from the AWS Cloud. It enables you to learn and explore the latest artificial intelligence (AI) tools and techniques for developing computer vision applications based on a deep learning model.
The AWS DeepLens device
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 the computing power 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.
You can use AWS DeepLens as soon as you register it.
How AWS DeepLens works
AWS DeepLens is integrated with multiple AWS services. You use these services to create, train, and launch your AWS DeepLens project. You can think of an AWS DeepLens project as being divided into two different streams as the image shown above.
- First, you use the AWS console to create your project, store your data, and train your model.
- Then, you use your trained model on the AWS DeepLens device. On the
device, the video stream from the camera is processed, inference is
performed, and the output from inference is passed into two output
streams:
- Device stream – The video stream passed through without processing.
- Project stream – The results of the model's processing of the video frames.
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