AI on the Edge with Computer Vision

Week 1

Get an introduction to the Intel NCS2. Topics include:

  • A comparison of the differences between traditional computer vision and deep learning
  • A review of the Intel® AI Portfolio including hardware and tools
  • An overview of edge inference with Intel® Movidius™ technology
  • An introduction to the Intel Distribution of OpenVINO toolkit

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Week 2

See how to install the Intel NCS2. Topics include:  

  • Installation steps for the Intel Distribution of OpenVINO toolkit
  • An overview of existing pretrained models and samples that work with the toolkit

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Week 3

Learn how to deploy an image classifier model on the Intel NCS2. Topics include:

  • Define an image classification model and explore a few popular image classification topologies
  • A deeper look into the Intel Distribution of OpenVINO toolkit and learn to create and deploy your first image classifier

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Week 4

Learn how to deploy an object detection model on the Intel NCS2. Topics include:

  • Define an object detection model and explore a few popular object detection topologies
  • Convert and deploy a pretrained YOLO* v3 model on the Intel NCS2 using the Intel Distribution of OpenVINO toolkit

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Week 5

See how to profile deep learning models using the Deep Learning Workbench. Topics include:

  • Understand the capabilities of the Deep Learning Workbench
  • Learn to install the Deep Learning Workbench directly on your system or using Docker* software
  • Profile your first deep learning model using the Deep Learning Workbench

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Week 6

Learn how to deploy custom models on the Intel NCS2 using the Intel Distribution of OpenVINO toolkit. Topics include:

  • Understand what a custom model is and when to use one
  • Go through the end-to-end training and inference workflow for a custom model on the Intel NCS2
  • Implement your first custom layer using the toolkit

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Week 7

Review how to deploy an object detection model on a Raspberry Pi board. Topics include:

  • Reasons to use a low-powered embedded board
  • Compare development and deployment modes of the Intel Distribution of OpenVINO toolkit
  • Install the toolkit on a Raspberry Pi board and run an object detection model

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