READY FOR PROJECT START

phyBOARD®-Pollux AI kit

Development platform for the use of machine learning in embedded systems

  • i.MX 8M Plus Quad with 4x 1,6 GHz
  • HDR capable image signal processor
  • Acquisition and processing of data by ISP and phyCAM-M camera
  • NXP eIQ Machine Learning SW in BSP integrated
  • Use of neural networks for object comparison
  • Can be used directly thanks to the support of pytorch, TensorFlow Lite and ONNX format
  • No extra tools (SDK, NDK) required for using neural networks
  • Time and cost efficiency through data processing at the edge
  • NPU Performance: Inference time 96x faster than the GPU
  • Addressing the NPU directly via the driver API
  • Optimal ratio of performance and energy consumption

Kit contents:

  • phyBOARD-Pollux with phyCORE-i.MX 8M Plus module
  • Linux Yocto BSP
  • Face recognition demo application
  • VM-016-COL-M-M12 (HD resolution, phyCAM-M, with M12 lens holder)
  • Lens, M12 (S-Mount), f = 12 mm
  • Pre-installed software image with pre-installed camera driver
  • OpenCV, GStreamer software libraries preinstalled
  • Ethernet cable
  • USB cable
  • 24 V power supply including connector set
  • Quick Start Instructions
  • Commissioning guarantee
  • Workshop voucher

Description:

The phyCORE-i.MX 8M Plus AI Kit serves both as a learning platform and as a reference design to unlock the embedded vision and machine learning functionalities of the i.MX 8M Plus processor. 

A cost-effective and industry-standard VM-016 HD camera with MIPI CSI-2 interface is included in the kit for capturing the image data. The data is processed by the internal Image Signal Processor of the i.MX 8M Plus, which means that post-processing of the image data is not necessary. 

The development environment for NXP's eIQ machine learning software is already in the BSP integrated. With the support of common models such as pytorch, TensorFlow Lite and ONNX format, you can start directly with your application. Hardware specially designed for machine learning or other tools for using neural networks are not required.

The data processing takes place exclusively at the edge, which guarantees an additional time advantage.
With the phyCORE-i.MX 8M Plus, embedded designs can now be used for AI and machine learning applications that require high-performance data processing for the rapid implementation of AI processes.

Face recognition demo application

Using the example of a demo application, it is demonstrated how neural networks can be used to compare objects using machine and deep learning algorithms. 
Specific facial features are extracted from recorded live images of faces by various neural networks, which are then compared with pre-trained faces of prominent people. The face with the smallest deviations from your own face is displayed as the best hit.

Sales manager Ralf Orschau explains the possibilities of the i.MX 8M Plus platform.

Celebrity Face Match AI Demo presented by Nico Bendisch.

Module phyCORE-i.MX 8M Plus
SOM Mounting Connector insertion
Processor i.MX 8M Plus Quad
Architecture ARM Cortex-A53 / Cortex-M7
Frequency 4x 1.6 GHz + 800 MHz
SPI NOR Flash 64 MB
eMMC 8 GB
LPDDR4 RAM 2 GB
EEPROM 4 kB
Ethernet 2x 10/100/1000 Mbit/s
Wireless 802.11 b/g/n (ac) 2.4 GHz / 5 GHz (via optional Wi-Fi Adapter)
Bluetooth BLE 4.2
USB 2x 3.0 Host
Serial 1x RS-232/RS-485 Full Duplex/RS-485 Half Duplex
CAN 2x CAN FD
Digital I/O optional via Expansion Connector
PCle 1x miniPCIe
Mass Memory microSD Card Slot
Display LVDS (1x 4 lanes or 1x 8 lanes), MIPI DSI (1x 4 lanes), HDMI
Audio SAI via A/V Connector
Camera 2x MIPI CSI-2 (phyCAM-M)
Expansion Bus I²C, SPI, SDIO (8-bit), UART, JTAG, USB
JTAG via Expansion Connector
User Control Elements 1x Reset Button, 1x On/Off, 1x Boot source select
Boot Source eMMC, SD Card, NOR, USB Serial Download, Internal Fuses
RTC Real Time Clock (mounted on SoM) with Gold Cap Backup
Power supply 12 V - 24 V
Dimensions 160 mm x 77 mm
Temperature range -40°C to +85°C
Betriebssystem Linux
Distribution Yocto

phyBOARD-Pollux KI Kit

Didn't find an answer? Just ask your question in Live Chat

phyBOARD--Pollux AI kit

Item No. KPB-03123-AI-Alph

symbol online shop.svg

phyBOARD Pollux
AI kit


Item No.: KPB-03123-AI

Available variants:

295.00  plus VAT.

Due to the current component situation, you will receive the delivery date in the order confirmation

Quantity:

Add-on Item number Price Order
Sterling WIFI Bluetooth Expansion 2.4GHz / 5GHzKPEB-WLBT-0539.00 plus VAT.
10.1" LVDS Display and Audio Expansion KitKPEB-AV-10-Pollux-Ax245.00 plus VAT.

Online seminars _ Helpful embedded knowledge explained in a nutshell in short video sessions

In informative online seminars with our experts and partners, we will inform you about exciting topics from the embedded industry.

You will get a free insight into new hardware and software solutions and learn more about special offers.

Education + Training _ Use our know-how for yours Productsdevelopment

With the know-how transfer from our experts to your developers, you will reach your goal faster!

 

Participants in our training courses receive a solid knowledge of professional hardware and software development.

Do you have questions about an embedded topic? Arrange an online meeting now!

 

Within 30 minutes you will learn new solutions for your project.
You can also secure exclusive offers after your conversation.