The Maixduino AI Development Board integrates the Kendryte K210 RISC-V AI processor and an ESP32-WROOM-32 wireless module in an Arduino UNO form factor. Designed for edge AI applications, it combines a dual-core 64-bit CPU (400MHz, overclockable) with 8MB on-chip SRAM, neural network acceleration (KPU), and audio processing (APU). The board supports convolutional operations, real-time voice direction scanning, and preprocessing of voice data, making it ideal for smart home devices (e.g., robotic vacuums, smart speakers), medical equipment, industrial automation, and educational projects.
Critical Compatibility Note:
While pin-compatible with Arduino UNO R3, the Maixduino operates at 3.3V/1.8V logic levels (non-5V tolerant). Misconnecting 5V peripherals may damage the board. Voltage domains are software-configurable per , but caution is essential
Key Features
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AI Processing Power:
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K210 Processor: Dual-core RISC-V 64-bit CPU with independent FPU for floating-point operations.
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KPU Accelerator: Hardware-accelerated neural networks for tasks like image classification and object detection.
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APU & FFT: Voice directionality analysis and Fast Fourier Transform acceleration for audio processing
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Wireless Connectivity:
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ESP32-WROOM-32: Dual-core Xtensa LX6 processor, Wi-Fi 4 (802.11 b/g/n, 150Mbps), and Bluetooth 4.2 LE/BR/EDR.
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Multimedia Support:
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Camera: 24-pin DVP interface for OV2640/OV5640/GC0328 sensors (included: GC0328).
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Display: 24-pin LCD connector (included: 2.4" screen).
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Audio: MEMS microphone, 3W speaker amp, and I²S DAC for playback
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Expandability:
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Arduino UNO headers: Digital I/O, PWM, I²C, UART, 6x analog inputs.
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TF card slot: For additional storage.
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Developer-Friendly:
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Triple IDE Support: Arduino IDE, MaixPy IDE (MicroPython), and OpenMV IDE for computer vision
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Specifications
| Category | Details |
|---|---|
| Model | Maixduino AI Development Kit (SKU: B0279) |
| Processor | K210 RISC-V dual-core @ 400MHz (FPU + KPU + APU) |
| Memory | 8MB SRAM (5.9MB dedicated to AI tasks) |
| Wireless | ESP32-WROOM-32: Wi-Fi 4 + BT 4.2 |
| Camera | GC0328 (300k pixels, included) |
| Display | 2.4" LCD (included) |
| Logic Voltage | 3.3V/1.8V (software-configurable per ; not 5V tolerant) |
| Power Input | USB Type-C (5V) or DC jack (6–12V) |
| Dimensions | 68 × 54mm (Arduino UNO footprint) |
| Operating Temp. | -30°C to 85°C |
Package Contents
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Maixduino Controller ×1
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GC0328 Camera Module ×1
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2.4" LCD Screen ×1
Development & Compatibility
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Voltage Management:
Use (Field Programmable I/O Array) to remap pins and set voltages (1.8V/3.3V). Avoid 5V Arduino shields unless using logic-level shifters
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AI Workflow:
Deploy models (MobileNetV2, YOLO) via MaixHub platform for face recognition or object detection without training from scratc
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Wireless Use Cases:
ESP32 enables BLE sensor networks or Wi-Fi video streaming to cloud platforms
Advantages
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- Edge AI Optimized:
1 TOPS KPU accelerates CNN inference at <1W power—ideal for battery-powered devices
- Plug-and-Play Sensors:
Bundled GC0328 camera and 2.4" LCD simplify vision prototyping.
- Cross-Platform Flexibility:
Code in MicroPython (MaixPy) for rapid testing or C++ (Arduino) for performance
- Real-World Durability:
Industrial temp range (-30°C–85°C) suits harsh environments like smart agriculture