Overview
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 and audio applications, with real-time analytics enabled by Reality AI Software. It enables multiple combinations of different plug-in sensors with the available on-board analog microphones and camera.
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:
- Out-of-the-box application example – Asset Movement Detection created by Reality AI Tools
- Various AI/ML solutions from the Renesas Ready Partner Network
Products in the Design
| 1894-32 | 10Base-T/100Base-TX Integrated PHYceiver™ with RMII Interface |
| ISL80102 | High Performance 2A Linear Regulator |
| ISL88002 | Ultra-Low Power 3 Ld Voltage Supervisors in SC-70 and SOT-23 Packages |
| ISL9021A | 250mA Single LDO with Low IQ, Low Noise and High PSRR LDO |
| QS3244 | High-Speed CMOS QuickSwitch 8-Bit Bus Switch |
| QS3VH16233 | 2.5V/3.3V 32:16 Mux/Demux High Bandwidth Bus Switch |
| RA4M2 | 100MHz Arm Cortex-M33 TrustZone, High Integration With Lowest Active Power Consumption |
| READ2304G | High-Drivability, High-Slew Rate, Input Output Full Range, CMOS Dual Operational Amplifier, VIO ≤ ±6mV, SR = 8V/μs |
Sample & Buy
RTK0EG0003D00001BE
Active| HTS (US): | 8471.50.0150 |
| ECCN (US): | 3A991.a.2 |
| SPQ: | 1 |
| Pb (Lead) Free: | No |
| Assembly Location: | ROMANIA |
Add-on Hardware
ICM-42670-P 6-Axis Gyroscope and Accelerometer Pmod Daughter Card
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.
Additional Videos
News & Blog Posts
Blog Post Apr 22, 2026 |
Blog Post Dec 18, 2025 |
Blog Post Dec 8, 2025 |
Blog Post Jul 18, 2025 |
Blog Post Jul 17, 2024 |
Blog Post Mar 13, 2024 |
Resources
Support
Support Communities
- AIK-RA8D1 Image Classification Project Example
... Image Classification Project" in AIK-RA8D1 but it is keeping fail and getting many errors when the source code is compiled and built. So, is there a same example project (Image Classification) that is running well on AIK-RA8D1?Thank youIK_Renesas This thread was automatically locked due to age.
Aug 20, 2025 - EK-RA8D1 AI MODEL DATA TYPE
Hi Renesas,I’m currently working with the EK-RA8D1 and AIK-RA8D1, and I’d like to ask about AI models for face detection and image classification. What is the maximum data type supported by the RA8D1 MCU for running AI models? Is it limited to INT8, or can ...
Aug 14, 2025 - e2 Studio renesas fatal error: bsp_linker_info.h: No such file or directory
Hello, I am working with e2 studio (Renesas) and I always face the same error after creating a new project. When I start a Renesas C/C++ project (Minimal) and try to build it immediately (without writing any code), the build fails with this error: D:/renesas/ ...
Sep 9, 2025
Support Communities
