Build DNN Applications on Next-Gen Intelligent Devices with Intel® NCS 2

Interested in building smarter AI algorithms and prototyping computer vision at the network edge?

You’ve come to the right webinar.

The Intel® Neural Compute Stick 2 (Intel® NCS 2) with an Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU) enables deep neural network (DNN) testing, tuning, and prototyping … so you can go from prototype to production faster.

What You’ll Learn
In this on-demand session, Intel computer vision expert Wei Lun Poon will walk you through a comprehensive overview of Intel NCS 2—a tiny, fanless, deep learning development kit—including:

  • What it’s good for, how it can be used, how easy it is to get started, and (most importantly) how it can be used in development
  • A demo showing how the Intel NCS 2 can be used with the Intel® Distribution of OpenVINO™ toolkit to accelerate computer vision and deep learning inference
  •  Several real-world examples of Intel NCS 2 in action

Watch it now.

Get the Software
If you haven’t yet, be sure to download the Intel® Distribution of OpenVINO™ toolkit — free toolset that includes a model optimizer and inference engine, computer vision algorithms, and optimized functions for OpenCV*, OpenVX*, media encode/decode, and much more.

Additional Resources
Get to know the Intel® NCS2 with these overviews and tutorials:

Wai Lun Poon, Product Manager, Intel Corporation

Wai is a product manager who specializes in artificial intelligence and computer vision in IoT. Since joining Intel in 2015, his responsibilities have focused on development and performance of Intel visual computing products and technologies, including Intel® Vision Accelerator solutions, the Intel® Distribution of OpenVINO™ toolkit, and intelligence at the edge.

Prior to his Intel role, Wai held several engineering positions—technical consulting, software quality analysis, and hardware/software engineering— at companies including IBM, ON Semiconductor, and CGI.

Wei is passionate about machine learning, web technologies, and robotics. He holds a Bachelor’s Degree in Computer Engineering from the University of Waterloo in Ontario, Canada.

Performance varies by use, configuration, and other factors. Learn more at