Apalis i.MX 8 Embedded Vision Starter Kit

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Product Details

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

Documentation

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2 documents

Related Hardware

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1 hardware offering

Training

2 trainings

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