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NCSM2852.DK intel Movidius Neural Compute Stick MA2450 Development Board 2450

The Intel Movidius Neural Compute SDK enables rapid phototyping and deployment of deep neural networks (DNNs) on compatible neural compute devices like the Intel Movidius Neural Compute stick. The NCSDK includes a set of software tools to compile, profile
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Brand Name: Intel Demo Board Type: MA2450

Introdution

 

The Intel® Movidius™ Neural Compute SDK (Intel® Movidius™ NCSDK) enables rapid prototyping and deployment of deep neural networks (DNNs) on compatible neural compute devices like the Intel® Movidius™ Neural Compute Stick. The NCSDK includes a set of software tools to compile, profile, and check (validate) DNNs as well as the Intel® Movidius™ Neural Compute API (Intel® Movidius™ NCAPI) for application development in C/C++ or Python.

 

The NCSDK has two general usages:

  • Profiling, tuning, and compiling a DNN model on a development computer (host system) with the tools provided in the NCSDK.

  • Prototyping a user application on a development computer (host system), which accesses the neural compute device hardware to accelerate DNN inferences using the NCAPI.

The following diagram shows the typical workflow for development with the NCSDK:

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Note that network training phase does not utilize the NCSDK.

 

Overview

        Intel Movidius Neural Compute Stick (NCS) is a tiny fanless deep learning USB drive designed to learn AI programming. The NCS is powered by the low power high performance Movidius Visual Processing Unit (VPU). The VPU can be found in millions of smart security cameras, gesture controlled drones, industrial machine vision equipment, etc. 

 

FEATURES

  • Supports Convolutional Neural Network (CNN) profiling, prototyping and tuning workflow
  • Real-time on device inference – Cloud connectivity not required
  • Features the Movidius™ Vision Processing Unit (VPU) with energy-efficient CNN processing
  • All data and power provided over a single USB type A port
  • Run multiple devices on the same platform to scale performance

 

SPECIFICATIONS

  • Minimum System Requirements:
  • x86_64 computer running Ubuntu 16.04
  • USB 2.0 Type-A port (Recommend USB 3.0)
  • 1GB RAM
  • 4GB free storage space
  • Form Factor: USB Stick
  • Dimensions: 72.5x27x14mm
  • Connectors: USB 3.0 Type A plug
  • Operating Temperature: 0°-40°

 

APPLICATIONS

  • Smart home and consumer robotics
  • Surveillance and security
  • Retail
  • Healthcare

 

Intel® Movidius™ Neural Compute Stick

The Intel® Movidius™ Neural Compute Stick (Intel® Movidius™ NCS) enables rapid prototyping of deep neural networks (DNNs) with the Intel® Movidius™ Neural Compute SDK (NCSDK).

o use the NCS, you will need to have the Intel® Movidius™ Neural Compute SDK (Intel® Movidius™ NCSDK) and/or Neural Compute API (NCAPI) installed on your development computer.

Connecting the NCS to a Host Machine

The NCS connects to the host machine over a USB 2.0 High Speed interface. You may plug the NCS directly into a USB port on your host machine or into a USB hub that is plugged into your host machine.

 

 Architecture
The NCS is powered by the Intel® Movidius™ Myriad™ 2 vision processing unit (VPU).

The VPU includes 4Gbits of LPDDR3 DRAM, imaging and vision accelerators, and an array of 12 VLIW vector processors called SHAVE processors. These processors are used to accelerate neural networks by running parts of the neural networks in parallel.

The NCS is connected to a host machine using the USB interface on the VPU. The USB3 interface can be used both in Super Speed (5 Gbps) or High Speed (480 Mbps) modes.

The VPU also has a SPARC microprocessor core that runs custom firmware. When the NCS is first plugged in, there is no firmware loaded onto it. The VPU boots from the internal ROM and connects to the host machine as a USB 2.0 device. Applications executing on the host machine communicate to the VPU SOC using the Neural Compute API (NCAPI). When the NCAPI initializes and opens a device, the firmware from the Neural Compute SDK (NCSDK) is loaded onto the NCS. At this time, the NCS resets and reconnects to the host machine as either a USB 2.0 or USB 3.0 device (depending on the host type). It is now ready to accept the neural network graph files and instructions to execute inferences.

A graph file is loaded into the DRAM attached to the VPU via the NCAPI. A LEON processor coordinates receiving the graph file and images for inference via the USB connection. It also parses the graph file and schedules kernels to the SHAVE neural compute accelerator engines. In addition, the LEON processor also takes care of monitoring die temperature and throttling processing on high temperature alerts. The output of the neural network and associated statistics are sent back to the host machine via the USB connection and are received by the host application via the NCAPI. 


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Support

There is an active user forum for users of the Intel® Movidius™ Neural Compute SDK to discuss ideas and seek troubleshooting help.

Pack list

 

1x Intel Movidius Neural Compute Stick (NCS)

 

NCSM2852-DK-intel-Movidius-Neural-Compute-Stick-MA2450-Development-Board-2450

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Movidius Neural Compute SDK Documents: https://movidius.github.io/ncsdk/index.html#Examples

Frameworks: https://movidius.github.io/ncsdk/configure_network.html

TensorFlow Support: https://movidius.github.io/ncsdk/tensorflow.html

Installation: https://movidius.github.io/ncsdk/install.html

Documentation for the NCAPI: https://movidius.github.io/ncsdk/ncapi/readme.html

Tool: https://movidius.github.io/ncsdk/tools/tools_overview.html

Neural Compute blog: https://movidius.github.io/blog/

[Tech-Support]
Expert Support: vip@youyeetoo.com
Skype: meiqiao_1
Wiki: https://youyeetoo.com/blog/
Forum: youyeetoo.net

 

 

 

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