Apalis i.MX 8 Embedded Vision Starter Kit

APALIS-IMX8-KIT

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The Apalis i.MX 8 Embedded Vision Starter Kit simplifies the development of computer vision and machine learning (ML) solutions.

Based on the i.MX 8QuadMax applications processor, the kit features connectivity, high reliability, reduced time-to-market, and ML optimizations in a compact form factor.

Amazon SageMaker Neo enables developers to train machine learning models once and run them anywhere in the cloud and at the edge.

AWS IoT Greengrass is used to manage secure communications with the cloud and enables the kit to deliver offline capabilities. A local user interface (UI) via an HDMI screen is included to provide live and historical data processing on a cloud dashboard.

Kit Contains:

  • Apalis i.MX 8QuadMax SoM
  • Ixora Carrier Board
  • Alvium 1500 series camera
  • 12V DC 30W Power Supply
  • Lens
  • MIPI-CSI2 cable
  • Serial port adapter
  • USB to serial adapter
  • Apalis Heatsink Type 4
  • Alvium to Ixora adapter board
  • Null modem cable
  • Fan (with screws)

Product Details

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Features

Apalis iMX8 QuadMax System on Module

  • CPU: NXP® i.MX 8QuadMax Applications Processor with to 2x Arm® Cortex-A72, 4x Cortex-A53, 2x Cortex-M4F
  • Armv8 64-Bit CPU Cores
  • GPU: GC7000 3D
  • RAM: 4GB LPDDR4
  • Flash memory: 16GB eMMC
  • Operating Systems: Torizon, Embedded Linux, also available Yocto Project, Android and QNX
  • On-board dual-band 802.11ac 2x2 MU-MIMO Wi-Fi and Bluetooth 5
  • Dimensions: 82.0 x 45.0 x 6.0 mm
  • Temperature -40° to +85°C
  • Industrial Grade System on Module design for products in demanding applications
  • Pin-compatible with Apalis iMX6 and Apalis iMX8X

Ixora Carrier Board

  • Compatible with the full Apalis System on Module family
  • HDMI and Dual Channel LVDS
  • Audio In and Out
  • 1x Gigabit Ethernet, 1x Mini PCIe, 1x mSATA
  • 2x USB 3.0, 1x USB 2.0, 1x OTG
  • 2x CAN, 2x I2C 1x SPI, 4x Analog inputs, Up to 40x GPIOs
  • 1x Quad Lane MIPI CSI-2 Camera Interface
  • Dimensions: 125 x 90mm
  • Full Design freely available including complete Altium CAE Data

Alvium 1500 Series Camera

  • 5MP
  • MIPI CSI-2 Interface
  • Compatible with a wide range of cameras
  • Long-term availability
  • Industrial Grade
  • Image Signal Processor (ISP) on camera

Torizon Embedded Linux

  • Open Source
  • Optimized for fast time-to-market
  • Automotive Grade OTA option
  • Built with Yocto Project
  • Integration with Visual Studio and Visual Studio Code
  • Docker Container Runtime

Amazon SageMaker Neo

  • Optimize Machine Learning models for Apalis iMX8 QuadMax
  • Works with Apache MXNet, TensorFlow, PyTorch, XGBoost
  • Bring your models to embedded devices

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Cloud-enabled Apalis AI Demo

With a few simple clicks, you can deploy a full end-to-end reference implementation of a device with an optimized neural network that can detect different kinds of pasta.

Documentation

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Training

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2 trainings

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