Difference between revisions of "DeepLens - deep learning enabled video camera"
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== Integrated Components == | == Integrated Components == | ||
| − | * [[SageMaker]] | + | * [[SageMaker]] - build, train, and deploy |
| − | * [[Polly]] | + | * [[Polly]] - text to speech |
| − | * [[Rekognition]] | + | * [[Rekognition]] - video analysis service |
| − | * [[Lambda]] | + | * [[Lambda]] - run code without managing servers |
| − | * [[Simple Queue Service (SQS)]] | + | * [[Simple Queue Service (SQS)]] - message queuing |
| − | * [[Simple Notification Service (SNS)]] | + | * [[Simple Notification Service (SNS)]] - pub/sub messaging and mobile notifications |
| − | * [[Simple Storage Service (S3)]] | + | * [[Simple Storage Service (S3)]] - object storage |
| − | * [[Management Console]] | + | * [[Management Console]] - manage web services |
== Frameworks == | == Frameworks == | ||
Revision as of 21:21, 6 May 2018
Integrated Components
- SageMaker - build, train, and deploy
- Polly - text to speech
- Rekognition - video analysis service
- Lambda - run code without managing servers
- Simple Queue Service (SQS) - message queuing
- Simple Notification Service (SNS) - pub/sub messaging and mobile notifications
- 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.
