Intel NCSM2485.DK Product Data Sheet
PRODUCT BRIEF
Intel® Neural Compute Stick 2
High performance, Low Power
for AI Inference
Introduction
Bringing computer vision and AI to your IoT and edge device
prototypes are now easier than ever with enhanced
capabilities of the Intel® Neural Compute Stick 2 (Intel® NCS2).
Learn more about
Intel® Neural
Compute Stick 2 at
http://intel.com/ncs
Whether you’re developing a smart camera, a drone with
gesture-recognition capabilities, an industrial robot, or the next,
must-have smart home device, the Intel® NCS2 offers what you
need to prototype smarter.
What looks like a standard USB thumb drive hides much more
inside. It’s built on the latest Intel® Movidius™ Myriad™ X VPU
which features the neural compute engine—a dedicated
hardware accelerator for deep neural network inferences. With
more compute cores than the original version and access to the
Intel® Distribution of OpenVINO™ toolkit, the Intel® NCS2
delivers 8X* performance boost over the previous generation.
Product features
• Powered by Intel® Movidius™ Myriad™ X Vision Processing Unit
• Up to 8X* the performance of Intel® Movidius™ Neural Compute Stick
• Supported by the Intel® Distribution of OpenVINO™ toolkit
• Real-time, on device inference - cloud connectivity not required
• Run multiple devices on the same platform to scale performance
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Where to buy
Purchase your Intel® Neural Compute Stick 2 from one of our trusted partners at: Where to Buy
Intel® Neural Compute Stick 2 | Product Sheet
Vision Processing Unit Architecture
Neural Compute Engine
16 SHAVE
Programmable Cores
Intel® Movidius™ Myriad™ X VPU
VLIW (DSP)
An entirely new
deep neural
network (DNN)
inferencing engine
that offers flexible
interconnect and
ease of configuration
for on-device DNNs
and computer
vision applications
Interfaces
LPDDR
programmable
processors are
optimized for
complex visions and
imaging workloads
Homogeneous
memory design for
low-power, UL
latency, sustained
High Performance
Intel® Distribution of OpenVINO™ toolkit
The Intel Distribution of OpenVINO™ toolkit is the default software development kit¹ to optimize performance, integrate deep learning inference, and run deep neural networks (DNN)
on Intel® Movidius™ Vision Processing Units (VPU).
Download Open Source GitHub Repo
Deep Learning Computer Vision
OpenCV, OpenCL™,
OpenVX
Caffe*, Tensorflow*, mxnet*,
ONNX*, PyTorch*, PaddlePaddle*
Pretrained models
The Intel® Distribution of OpenVINO™ toolkit includes two
sets of optimized models that can expedite development
and improve image processing pipelines for Intel® processors. Use these models for development and production
deployment without the need to search for or to train your
own models.
Full list of models at: Pretrained Models
Reference Implementations
Open-sourced reference implementations to quickly deploy with pre-built projects
Intruder Detector
Build an application that alerts you when someone
enters a restricted area. Learn how to use models for
multiclass object detection.
Restricted Zone Notifier
Secure work areas and send alerts if someone enters
the restricted space.
Store Traffic Monitor
Monitor three different streams of video that count
people inside and outside of a facility. This application
also counts product inventory.
Shopper Gaze Monitor
Build a solution to analyze customer expressions and
reactions to product advertising collateral that is
positioned on retail shelves.
Parking Lot Tracker
Receive or post information on available parking
spaces by tracking how many vehicles enter and exit a
parking lot.
Machine Operator Monitor
Send notifications when an employee appears to be
distracted when operating machinery.
View all reference implementations
Intel® Neural Compute Stick 2 | Product Sheet
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