Difference between revisions of "DeepLens - deep learning enabled video camera"
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| − | == | + | == Hardware == |
| − | The CPU is a [http://ark.intel.com/products/96486/Intel-Atom-x5-E3930-Processor-2M-Cache-up-to-1_80-GHz dual-core Atom E3930]. DeepLens comes with an [http://www.notebookcheck.net/Intel-HD-Graphics-500.182723.0.html Intel HD Graphics 500 chip]; so a graphics processing unit ([http://en.wikipedia.org/wiki/Graphics_processing_unit GPU]) is included too. This chip has 12 “execution units” capable of running 7 threads each [single instruction, multiple data ([http://en.wikipedia.org/wiki/SIMD 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. The | + | has the following 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 | ||
| + | * An audio port | ||
| + | * 2 USB ports | ||
| + | * The CPU is a [http://ark.intel.com/products/96486/Intel-Atom-x5-E3930-Processor-2M-Cache-up-to-1_80-GHz dual-core Atom E3930]. DeepLens comes with an [http://www.notebookcheck.net/Intel-HD-Graphics-500.182723.0.html Intel HD Graphics 500 chip]; so a graphics processing unit ([http://en.wikipedia.org/wiki/Graphics_processing_unit GPU]) is included too. This chip has 12 “execution units” capable of running 7 threads each [single instruction, multiple data ([http://en.wikipedia.org/wiki/SIMD 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. [http://software.intel.com/sites/default/files/managed/c5/9a/The-Compute-Architecture-of-Intel-Processor-Graphics-Gen9-v1d0.pdf Processor Technical Specifications] | ||
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Revision as of 16:04, 25 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 IoT Services Overview
- Internet of Things (IoT) Core - process and route those messages to AWS endpoints
- 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
has the following 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
- An audio port
- 2 USB ports
- 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
