Difference between revisions of "DeepLens - deep learning enabled video camera"
(→Integrated Components) |
(→Integrated Components) |
||
| Line 14: | Line 14: | ||
* [[Lambda]] - run code without managing servers | * [[Lambda]] - run code without managing servers | ||
* [[Greengrass]] - connected devices can run AWS Lambda functions, keep device data in sync | * [[Greengrass]] - connected devices can run AWS Lambda functions, keep device data in sync | ||
| − | * [[Intel® Compute Library for Deep Neural Networks (clDNN)]] - deep learning primitives for computer vision | + | * [[Intel® Compute Library for Deep Neural Networks (clDNN)]] & OpenVINO - deep learning primitives for computer vision |
* [[Simple Queue Service (SQS)]] - message queuing | * [[Simple Queue Service (SQS)]] - message queuing | ||
* [[Simple Notification Service (SNS)]] - pub/sub messaging and mobile notifications | * [[Simple Notification Service (SNS)]] - pub/sub messaging and mobile notifications | ||
Revision as of 13:20, 28 May 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.
