UP Squared* AI Vision X Developer Kit
Overview
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.
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)
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)
Kit Details
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
LTE Module (EU Only)
Hardware Specifications
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
Software
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
- 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.
Documentation & Support
Customize Your UP Squared Board for Production
Advance your prototype to the next stage through custom software and hardware offered by AAEON and Canonical.
- Explore the different UP Squared board configurations to fit your specific workload.
- Find out more about Customization Services for Hardware from AAEON.
- Learn more about Ubuntu Customization and Deployment from Canonical.