AWS Machine Learning Blog

Category: AWS DeepLens

Learn about SafeHaven: The third place winner of the AWS DeepLens Challenge Hackathon

Nathan Stone (NS) and Peter McLean (PM) are a team both professionally at Haven Power, a business energy supplier in Ipswich, UK, and also off the clock when they recently collaborated to create SafeHaven, the third place winner in the AWS DeepLens Challenge. SafeHaven was designed to protect vulnerable people, by enabling them to identify […]

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Learn about Dee: The DeepLens Educating Entertainer – The second place winner of the AWS DeepLens Challenge Hackathon

Matthew Clark is a software developer turned architect. He lives in Manchester in the north of England, and he’s soon to be the proud owner of a new kitchen. He’s also the creator of Dee – the DeepLens Educating Entertainer, which won second place in the AWS DeepLens Challenge. Dee is an example of how […]

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Deploy Gluon models to AWS DeepLens using a simple Python API

Today we are excited to announce that you can deploy your custom models trained using Gluon to your AWS DeepLens. Gluon is an open source deep learning interface which allows developers of all skill levels to prototype, build, train, and deploy sophisticated machine learning models for the cloud, devices at the edge, and mobile apps. […]

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Announcing the winners of the AWS DeepLens Challenge

At AWS re:Invent 2017 we announced the AWS DeepLens Challenge in conjunction with Intel. The AWS DeepLens Challenge gave attendees of the re:Invent DeepLens workshops an opportunity to put their skills to the test by building a machine learning (ML) project using their AWS DeepLens. The mission was to get creative with computer vision and […]

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Build your own object classification model in SageMaker and import it to DeepLens

We are excited to launch a new feature for AWS DeepLens that allows you to import models trained using Amazon SageMaker directly into the AWS DeepLens console with one click. This feature is available as of AWS DeepLens software version 1.2.3. You can update your AWS DeepLens software by re-booting your device or by using […]

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Dive Deep into AWS DeepLens Lambda Functions and the New Model Optimizer

Today we launched a new Model Optimizer for AWS DeepLens, which will optimize your deep learning models to run on the DeepLens GPU efficiently, with a single line of Python. The Model Optimizer is available in AWS DeepLens software version 1.2.0. To access the GPU for inference, AWS DeepLens uses the Cl-DNN, Compute Library for […]

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Customize and Display AWS DeepLens Project Output on Your Laptop

AWS DeepLens is a deep-learning-enabled developer toolkit with a video camera. It enables you to develop machine learning skills using hands-on computer vision tutorials, pre-built models and allows you to extend them. Examples of pre-built models include object detection to recognize and detect different objects in your room such as TV monitors, people and bottles, […]

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Extend AWS DeepLens to Send SMS Notifications with AWS Lambda

AWS DeepLens is a deep learning enabled developer toolkit with a video camera. It enables you to develop machine learning skills using hands-on computer vision tutorials, pre-built models and allows you to extend them. This blog post explains how to extend the local functionality of DeepLens with cloud functionality using the AWS IoT Rule Engine […]

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