Difference between revisions of "DeepLens - deep learning enabled video camera"
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* [[Kinesis]] - collect, process, and analyze real-time, streaming data | * [[Kinesis]] - collect, process, and analyze real-time, streaming data | ||
* [[Lambda]] - run code without managing servers | * [[Lambda]] - run code without managing servers | ||
| − | * [ | + | * [[AWS Internet of Things (IoT)]] Services Overview |
** [[Internet of Things (IoT) Core]] - process and route those messages to AWS endpoints | ** [[Internet of Things (IoT) Core]] - process and route those messages to AWS endpoints | ||
** [[MQTT]] - A lightweight messaging protocol | ** [[MQTT]] - A lightweight messaging protocol | ||
Revision as of 14:59, 27 June 2018
Integrated Components/Technologies
- 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 Internet of Things (IoT) Services Overview
- Internet of Things (IoT) Core - process and route those messages to AWS endpoints
- MQTT - A lightweight messaging protocol
- 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
- DynamoDB - NoSQL database
- Simple Storage Service (S3) - object storage
- Management Console - manage web services
- Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI
- SoftAP - software enabled access point
- Ubuntu - operating system
Libraries & Frameworks
Hardware Specifications
- 4 megapixel resolution (1080p video)
- 8GB of RAM
- 16GB of internal storage
- A 32GB SD card
- Wi-Fi connectivity
- A micro HDMI port
- 1/8" audio port
- 2 USB ports
- 5v power supply
- The CPU is a dual-core Atom E3930. DeepLens comes with an Intel HD Graphics 500 chip; so a graphics processing unit (GPU) is included too. This chip has 12 “execution units” capable of running 7 threads each [single instruction, multiple data (SIMD) architecture]. 84 “cores” - over 100 GFLOPS of compute power on the device, it can process deep learning predictions on HD video for real time. Processor Technical Specifications
