UP Squared* AI Vision X Developer Kit

Implement computer vision solutions and run deep learning inference using the CPU, GPU, or an optional VPU.

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Preinstalled Computer Vision Software

Use the Intel® Distribution of OpenVINO™ toolkit for hardware acceleration of deep learning inference for computer vision applications.

Hardware Acceleration

Harness the performance of Intel®-based accelerators for deep learning inference with the CPU and GPU included in this kit or with an optional VPU.

Reduce Time to Field Trial

The included production-ready system with mountable aluminum chassis and camera can be deployed as is and has an operating temperature range of 0°C to 40°C

Virtual Testing with Intel® DevCloud for the Edge

Quickly prototype and develop AI applications in the cloud using the latest Intel® hardware and software tools.

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Who Needs This Product

Information and operational technologists who:

  • Are new to IoT commercial platforms and need a simple path without a steep learning curve
  • Need a quicker path to deployment

Use Cases

  • Face detection and analysis
  • Retail audience analytics
  • Pedestrian detection and analysis
  • Traffic monitoring and license plate recognition

Brand Recognition and Inventory Management (video)

Personal Protective Equipment Analysis (video)

 

Reference Implementations

View All

 

Create a People Counter Application

 

Intel® Vision Accelerator Design Products

The UP Squared* AI Vision X Developer Kit can be ordered with an optional preinstalled vision accelerator that enables:

  • Faster inferencing at the edge
  • Offload processing from the CPU and GPU to the AI Core X Mini PCIe* card with the Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU)

Hardware

  • UP Squared board with Intel Atom® X7-E3950 processor (quad core) and 8 GB of RAM and 64 GB eMMC
  • USB camera with a maximum resolution of 1920p x 1080p at 30 frames per second
  • Power supply for the UP Squared board
  • Optional AI Core X Mini PCIe* card with the Intel® Movidius™ Myriad™ X Vision Processing Unit (VPU)
  • Aluminum enclosure
  • CE, FCC certified with the designated Wi-Fi* and LTE module

Preinstalled Software

  • Ubuntu* 16.04 desktop
  • Intel® Distribution of OpenVINO™ toolkit 2018 R5 release
  • Intel® Media SDK
  • Drivers for Intel® VTune™ Profiler, Intel® Energy Profiler, Intel® Graphics Performance Analyzers
  • MRAA and UPM I/O and sensor libraries for C++, Python*, Java*, and JavaScript*

 

Optional Add-ons

Wi-Fi Card

LTE Module (EU Only)

System Requirements

HDMI* or DisplayPort* compatible monitor

USB keyboard and mouse

Ethernet connection (for internet connectivity)

 

System Board

Intel Atom x7-E3950 processor (1.6 GHz quad core, burst up to 2.0 GHz)

Integrated Intel HD Graphics 505 with 18 execution units

8 GB LPDDR4 system memory

64 GB eMMC

Available I/O Interfaces

GPIO

I2C

SPI

UART

PWM

i2s

HDMI and DisplayPort

Dual gigabit Ethernet ports

USB 3.0

Expansion Slots

1 - SATA 3

1 - Mini PCIe*

1 - M.2 2330

Intel® Distribution of OpenVINO™ Toolkit

  • Enable CNN-based deep learning inference on the edge
  • Support for heterogeneous execution across various accelerators—CPU, GPU, Intel® Movidius™ Myriad™ X, and FPGA—using a common API
  • Speed up time to market via a library of functions and preoptimized kernels
  • Use preinstalled models included with the Intel Distribution of OpenVINO toolkit R5 release

Release Notes

Documentation

Intel® Edge Software Hub 

  • Develop, test, deploy, and maintain solutions at the edge with latest software packages and tools.
  • Optimize your computer vision and deep learning applications for Intel® architecture with the Intel Distribution of OpenVINO toolkit.
  • Maintain and manage your applications with containerized architecture and regular updates.
  • Get started quickly with reference implementations, tutorials, and samples.

Intel® oneAPI Base & IoT Toolkit 

The combination of Intel® oneAPI Base Toolkit and Intel® oneAPI IoT Toolkit provides a core set of high-performance build tools, libraries, and analysis tools to simplify IoT system design, development, and deployment across CPU, GPU, FPGA, and other accelerator architectures that run at the network’s edge.

Customize Your UP Squared Board for Production

Advance your prototype to the next stage through custom software and hardware offered by AAEON and Canonical.

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