Difference between revisions of "DeepLens - deep learning enabled video camera"
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* [[Rekognition]] - video analysis service | * [[Rekognition]] - video analysis service | ||
* [[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 | ||
* [[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 | ||
| + | * [[DynamoDB]] - NoSQL database | ||
* [[Simple Storage Service (S3)]] - object storage | * [[Simple Storage Service (S3)]] - object storage | ||
* [[Management Console]] - manage web services | * [[Management Console]] - manage web services | ||
Revision as of 21:42, 6 May 2018
Integrated Components
- SageMaker - build, train, and deploy
- Polly - text to speech
- Rekognition - video analysis service
- Lambda - run code without managing servers
- Greengrass - connected devices can run AWS Lambda functions, keep device data in sync
- Simple Queue Service (SQS) - message queuing
- Simple Notification Service (SNS) - pub/sub messaging and mobile notifications
- 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.
