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Overview

Description

The AIK-RA8D1 provides developers with multiple and reconfigurable connectivity functions to expedite AI/ML system development. This easy-to-use hardware platform for multimodal AI/ML solutions is based on the RA8D1 MCU from the RA family of 32-bit MCUs.

The hardware platform is intended for use in a variety of AI/ML single or multimodal use cases supporting vision, real-time analytics, and audio. It enables multiple combinations of different plug-in sensors with the available onboard analog microphones and camera.

The kit is supported by Reality AI Software for real-time analytics, and by the Renesas Ready Partner Network for specific vision and audio-based use cases.

The AIK-RA8D1 will enable you to evaluate and test available application examples, as well as develop your own solutions using the available ecosystem and AI/ML software.

Features

  • Hardware Features:
    • Renesas RA8D1 480MHz Arm-Cortex-M85 based microcontroller with Helium and TrustZone
    • Up to six Digilent Pmod™ ports (SPI/UART/I2C) for sensors and peripherals connectivity allowing rapid prototyping
    • Camera and analog microphones interface
    • Ethernet and CAN interfaces
    • External SDRAM (128Mbit)
    • Micro USB Full Speed device support
    • SEGGER J-Link® on board debugger with Virtual COM port functionality
  • Add-on AI Features:

Applications

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Design & Development

Software & Tools

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Models

ECAD Models

Schematic symbols, PCB footprints, and 3D CAD models from SamacSys can be found by clicking on the CAD Model links in the Product Options table. If a symbol or model isn't available, it can be requested directly from SamacSys.

Diagram of ECAD Models

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Videos & Training

Renesas and Aizip have partnered to develop a compact face authentication solution using Renesas RA Family microcontrollers. The Aizip Face Identification technology supports up to 100 users with high accuracy and operates entirely on-device, ensuring secure, private, and reliable access control. This video introduces the solution and highlights its integration with RA8D1 MCUs and standard cameras.

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