Difference between revisions of "DeepLens - deep learning enabled video camera"

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[http://www.youtube.com/results?search_query=amazon+deeplens YouTube search...]
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{{#seo:
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|title=PRIMO.ai
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|keywords=artificial, intelligence, machine, learning, models, algorithms, data, singularity, moonshot, Tensorflow, Google, Nvidia, Microsoft, Azure, Amazon, AWS
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|description=Helpful resources for your journey with artificial intelligence; videos, articles, techniques, courses, profiles, and tools
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[https://www.youtube.com/results?search_query=amazon+deeplens YouTube search...]
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[https://www.google.com/search?q=amazon+deeplens+deep+machine+learning+ML ...Google search]
  
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* [http://aws.amazon.com/deeplens/ Product page...]
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* [[Amazon | Amazon AWS]]
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* [https://aws.amazon.com/deeplens/ Product page...]
 
* [[Getting Started & Project: Object Detection]]
 
* [[Getting Started & Project: Object Detection]]
 
* [[More DeepLens Projects]]
 
* [[More DeepLens Projects]]
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* [[Video/Image]]
  
 
https://docs.aws.amazon.com/deeplens/latest/dg/images/deeplens-hiw-general.png
 
https://docs.aws.amazon.com/deeplens/latest/dg/images/deeplens-hiw-general.png
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== Integrated Components/Technologies ==
 
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* [[Lex]] - conversational interfaces using voice and text
 
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* [[SageMaker]] - build, train, and deploy
 
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* [[Polly]] - text to speech
 
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* [[Rekognition]] - video analysis service
 
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* [[Kinesis]] - collect, process, and analyze real-time, streaming data
 
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* [[Lambda]] - run code without managing servers
 
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* [https://aws.amazon.com/iot/ AWS IoT] Services Overview
 
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** [[Internet of Things (IoT) Core]] - process and route those messages to AWS endpoints
 
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**[[AWS IoT Button]]
 
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* [[Greengrass]] - connected devices can run AWS Lambda functions, keep device data in sync
 
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* [[Intel® Compute Library for Deep Neural Networks (clDNN)]] & OpenVINO - deep learning primitives for computer vision
 
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* [[Simple Queue Service (SQS)]] - message queuing
 
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* [[Simple Notification Service (SNS)]] - pub/sub messaging and mobile notifications
 
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* [[DynamoDB]] - NoSQL database
 
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* [[Simple Storage Service (S3)]] - object storage
 
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* [[Management Console]] - manage web services
 
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* [[Deep Learning (DL) Amazon Machine Image (AMI) - DLAMI]]
 
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* [http://en.wikipedia.org/wiki/SoftAP SoftAP] - software enabled access point
 
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* [http://www.ubuntu.com/ Ubuntu] - operating system
 
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== Libraries & Frameworks ==
 
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* [[TensorFlow]]
 
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* [[Caffe / Caffe2]]
 
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* [[MXNet]]
 
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* [[gluon]]
 
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https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2017/11/30/DeepLens-Flow-1.gif
 
  
 
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https://d2908q01vomqb2.cloudfront.net/f1f836cb4ea6efb2a0b1b99f41ad8b103eff4b59/2017/11/30/DeepLens-Flow-1.gif
  
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== Processor ==
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== Hardware Specifications ==
  
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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]) in there 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.  
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* 4 megapixel resolution (1080p [[Video/Image|Video]])
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* 8GB of RAM
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* 16GB of internal storage
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* A 32GB SD card
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* Wi-Fi connectivity
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* A micro HDMI port
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* 1/8" audio port
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* 2 USB ports
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* 5v power supply
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* The CPU is a [https://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 [https://www.notebookcheck.net/Intel-HD-Graphics-500.182723.0.html Intel HD Graphics 500 chip]; so a graphics processing unit ([https://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 ([https://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/Image|video]] for real time. [https://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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* [http://software.intel.com/sites/default/files/managed/c5/9a/The-Compute-Architecture-of-Intel-Processor-Graphics-Gen9-v1d0.pdf Processor Technical Specifications]
 
 
<youtube>suQnh1TvGHw</youtube>
 
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Latest revision as of 22:45, 30 March 2023

YouTube search... ...Google search

deeplens-hiw-general.png


DeepLens-Flow-1.gif

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

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