Renesas Electronics AIK-RA6M3 AI/ML Reference Kit

Renesas Electronics AIK-RA6M3 AI/ML Reference Kit is based on the RA6M3 32-bit MCUs group and is designed for easy integration of AI/ML technology for edge applications. This kit provides complete end-to-end Artificial Intelligence (AI) for real-time analytics and vision. The RTK0EG0001 kit features 2 MEMS microphones, a TFT-display PCB SPI (2.8 inch), an OV2640 camera, an ICM-42670-P accelerometer module, and an onboard debugger (J-LINK or E2OB). This kit offers QSEPs to start development and a single carrier board with multiple MCU cases to maximize flexibility. The RTK0EG0001 kit also provides multiple interface options and a built-in asset movement recognition use case. Typical applications include home automation, consumer, building automation, city infrastructure, industrial automation, agriculture, transport and logistics, and healthcare.

Features

  • Complete end-to-end AI/ML solution
  • Multiple interface options
  • In-the-box accessories to kick off development
  • Single carrier board with multiple MCU cases to maximize flexibility
  • Quality, Safety and Education Portals (QSEPs) to start development
  • Build in asset movement recognition use case
  • Person access system use case with Quick Start Guide

Specifications

  • Based on RA6M3 MCUs
  • Connectivity:
    • 6 x PMOD connector
    • 1 x CAN FD
    • 1 x USB full speed (peripheral)
    • 1 x LAN 100MBit
    • 1 x camera parallel port
  • 2 MEMS microphones
  • TFT-display PCB SPI (2.8inch)
  • OV2640 camera
  • ICM-42670-P accelerometer module
  • Onboard debugger (J-LINK or E2OB)

Applications

  • AI/ML
  • Real-time analytics
  • Sensor fusion
  • Computer vision
  • Home automation
  • Building automation
  • City infrastructure
  • Industrial automation
  • Agriculture
  • Transport and logistic
  • Healthcare

Videos

AIK-RA6M3 Block Diagram

Block Diagram - Renesas Electronics AIK-RA6M3 AI/ML Reference Kit

Carrier/SubBoard System

Renesas Electronics AIK-RA6M3 AI/ML Reference Kit
Inilathala: 2024-03-18 | Na-update: 2025-05-08