AWS Machine Learning Blog

Category: AWS DeepLens

Use AWS DeepLens to give Amazon Alexa the power to detect objects via Alexa skills

People are using Alexa for all types of activities in their homes, such as checking their bank balances, ordering pizza, or simply listening to their music from their favorite artists. For the most part, the primary interaction with the Echo has been your voice. In this blog post, we’ll show you how to build a […]

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Track the number of coffees consumed using AWS DeepLens

AWS DeepLens is a deep-learning-enabled video camera for developers. It enables you to expand your deep learning skillsets through the use of a fully programmable video camera, tutorials, code, and pre-trained models. The goal with this blog post is to show you how to get started with the AWS DeepLens and how this device facilitates the introduction […]

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Deploy your own TensorFlow object detection model to AWS DeepLens

In this blog post, we’ll show you how to deploy a TensorFlow object detection model to AWS DeepLens. This enables AWS DeepLens to perform real-time object detection using the built-in camera. Object detection is the technique for machines to correctly identify different objects in the image or video. Image recognition, specifically object detection is a […]

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Help improve lives through Machine Learning by joining the AWS DeepLens Challenge!

Today, we’re unveiling a fresh approach to the AWS DeepLens Challenge. We are bringing you four challenges to choose from–sustainability, games, health and inclusivity. Now you can be inspired to create machine learning projects with AWS DeepLens and make a difference at the same time! Use these challenges to gain machine learning experience with fun, […]

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Visual search on AWS—Part 2: Deployment with AWS DeepLens

In Part 1 of this blog post series, we examined use cases for visual search and how visual search works. Now we’ll extend the results of Part 1 from the digital world to the physical world using AWS DeepLens, a deep-learning-enabled video camera. Most current applications of visual search don’t involve direct interaction with the physical […]

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Deploy a TensorFlow trained image classification model to AWS DeepLens

We are very excited to announce that you can deploy your computer vision model trained using TensorFlow (version 1.4) to AWS DeepLens. Head pose detection is part of the AWS DeepLens sample projects. In this blog post, we will show you how to train a model from scratch using a P2 training instance of Amazon […]

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The AWS DeepLens Inclusivity Challenge submission period extended to 8/19

We announced the AWS DeepLens Inclusivity Challenge two weeks ago, and how time has flown! In this first challenge, we invite you to create an AWS DeepLens project that fosters inclusion for people of all abilities and helps individuals overcome barriers associated with special needs. For each project that meets the participation criteria, we will […]

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Are you ready for a new challenge? You have an opportunity to make a difference! Announcing the AWS DeepLens Challenge

Technology like machine learning (ML) has the potential to profoundly impact the world, and we believe, benefit society in materially beneficial ways. It’s one of the reasons why AWS is committed to putting machine learning into the hands of every developer and data scientist. And now, with the AWS DeepLens deep learning-enabled video camera, developers […]

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Video analytics in the cloud and at the edge with AWS DeepLens and Kinesis Video Streams

Yesterday we announced the integration of AWS DeepLens with Amazon Kinesis Video Streams, allowing you to easily and securely stream a video feed from AWS DeepLens to Amazon Kinesis Video Streams for analytics, machine learning and other processing. To help you understand the solution that integrates AWS DeepLens and Kinesis Video Streams, we’ll recap the […]

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Learn about ASLens – A deep learning project that uses AWS DeepLens to translate the American Sign Language alphabet to speech

Chris Coombs travelled all the way from Melbourne, Australia to attend AWS re:Invent 2017. He was delighted to be one of the lucky few to get his hands on AWS DeepLens. He put it to good use by entering the AWS DeepLens Challenge Hackathon. A man of many talents, he is a husband and father […]

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