Difference between revisions of "DeepLens - deep learning enabled video camera"

Revision as of 13:44, 8 June 2018

Lex - conversational interfaces using voice and text
SageMaker - build, train, and deploy
Polly - text to speech
Rekognition - video analysis service
Kinesis - collect, process, and analyze real-time, streaming data
Lambda - run code without managing servers
- AWS IoT Button
Greengrass - connected devices can run AWS Lambda functions, keep device data in sync
Intel® Compute Library for Deep Neural Networks (clDNN) & OpenVINO - deep learning primitives for computer vision
Simple Queue Service (SQS) - message queuing
Simple Notification Service (SNS) - pub/sub messaging and mobile notifications
Internet of Things (IoT) Core - process and route those messages to AWS endpoints
DynamoDB - NoSQL database
Simple Storage Service (S3) - object storage
Management Console - manage web services

With over 100 GFLOPS of compute power on the device, it can process deep learning predictions on HD video for real time.

@@ Line 2: / Line 2: @@
 * [http://aws.amazon.com/deeplens/ Product page...]
-** [http://aws.amazon.com/getting-started/tutorials/ Getting Started Tutorials]
+** [http://aws.amazon.com/getting-started/tutorials/configure-aws-deeplens/ Configure Your New AWS DeepLens]
+** [http://aws.amazon.com/getting-started/tutorials/build-deeplens-project-sagemaker/?trk=gs_card Build an AWS DeepLens Project]
+** [http://aws.amazon.com/getting-started/tutorials/create-deploy-project-deeplens/?trk=gs_card Creating and Deploying an AWS DeepLens Project]
+** [http://aws.amazon.com/getting-started/tutorials/extend-deeplens-project/?trk=gs_card Extending Your AWS DeepLens Project]
 ** [http://aws.amazon.com/deeplens/community-projects/ Community Projets]
 * [http://www.slideshare.net/AmazonWebServices/aws-deeplens-workshop-building-computer-vision-applications AWS DeepLens Workshop: Building Computer Vision Applications]