UP Squared* AI Vision X Developer Kit
Implement computer vision solutions and run deep learning inference using the CPU, GPU, or an optional VPU.
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℃ to 40℃.
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)
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® System Studio 2019 Ultimate Edition (update 2)
- Intel® Media SDK
- Drivers for Intel® VTune™ Amplifier, 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)
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)
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
Arduino Create*
- A cloud-based development solution
- Integrated with Intel®-based boards and libraries
- Large community collection of guides, projects, and training for all levels
Intel® System Studio 2019
- Optimize production and performance
- Get cross-platform support
- Quickly identify and analyze performance across network, devices, and remote systems
- Reduce system power consumption by collecting and analyzing power behavior
- Access Intel® Advanced Vector Extensions 512 instructions
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
- Preinstalled models included with the Intel Distribution of OpenVINO toolkit R5 release
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.
