Difference between revisions of "DeepLens - deep learning enabled video camera"
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| − | * [http://aws.amazon.com/deeplens/community-projects/ Community Projets] | + | ** [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] | ||
https://docs.aws.amazon.com/deeplens/latest/dg/images/deeplens-hiw-general.png | https://docs.aws.amazon.com/deeplens/latest/dg/images/deeplens-hiw-general.png | ||
Revision as of 20:04, 7 June 2018
Integrated Components
- 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
- 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
Frameworks
Projects
Processor
With over 100 GFLOPS of compute power on the device, it can process deep learning predictions on HD video for real time.
