SKU: IOWC-1294
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Sipeed Maix II M2 Dock AIoT Core Board w/ Antenna & Horn

₹2,779.00 (Inclusive of all taxes)
Out of Stock

The Sipeed Maix II M2 Dock is an AIoT core board featuring a RISC-V K210 dual-core AI accelerator for edge vision and audio processing, with integrated Wi-Fi/Bluetooth, MIPI camera input, and a comprehensive set of industrial interfaces for embedded AI development.

Features

  • RISC-V AI Accelerator: K210 dual-core 64-bit processor with FPU and 0.2 TOPS NPU for efficient on-device machine learning and computer vision tasks.
  • Integrated Wireless: Built-in Wi-Fi and Bluetooth modules provide seamless IoT connectivity for data transmission and remote control.
  • High-Speed Vision Interface: 2-lane MIPI CSI supports cameras up to 1080p@60fps, enabling real-time video capture for AI applications.
  • Rich Peripheral Set: Includes USB, dual UART, multiple SPI/I2C, I2S audio, 10/100 Ethernet (RMII), and GPIOs for sensor and actuator integration.
  • Complete Development Kit: Ships with core board, stabilizing bottom plate, antenna, and mounting horn for immediate prototyping.

Out of stock

Description

The Sipeed Maix II M2 Dock is a compact yet powerful core board engineered for AIoT and edge computing applications. Its heart is the Kendryte K210 system-on-chip, which combines a dual-core RISC-V CPU with a dedicated neural network processor (KPU) capable of 0.2 TOPS. This architecture is optimized for running convolutional neural networks locally, enabling real-time object detection, image classification, and audio recognition without cloud dependency.

Connectivity is central to its design, with integrated Wi-Fi and Bluetooth for wireless communication, and a robust selection of wired interfaces including a 10/100 Mbps Ethernet port via RMII, USB, and multiple serial buses. The board’s MIPI CSI-2 interface allows direct connection to high-resolution camera sensors, making it ideal for vision-based AI projects. The included bottom plate provides mechanical stability, while the external antenna ensures reliable RF performance for wireless links.

Key Features

  • Edge AI Processing: K210's NPU accelerates CNN models for face recognition, object detection, and keyword spotting directly on the device.
  • Dual-Band Wireless: Integrated 2.4GHz Wi-Fi and Bluetooth 4.2/BLE enable IoT gateway functionality and wireless sensor networking.
  • Multi-Format Video Encoding: Hardware-accelerated H.264, H.265, and JPEG encoding offloads the CPU for efficient video streaming and storage.
  • Expandable Memory & Storage: Onboard 64MB DDR2 RAM and optional 16MB flash, plus dual SD card interfaces (SMHC) for additional data logging.
  • Professional Audio I/O: Integrated I2S controller with LINEOUT and MICIN ports supports digital audio input and output for voice AI applications.
  • Industrial-Grade Interfaces: Comprehensive I/O including RMII Ethernet, multiple SPI/I2C, UART, and GPIO suits industrial control and sensor aggregation.
  • Developer-Friendly Ecosystem: Supported by Sipeed's MaixPy MicroPython framework, Kendryte SDK, and popular IDEs for rapid AI model deployment.

Applications

  • Smart Vision & Surveillance: Deploy for edge-based person detection, license plate recognition, or smart camera systems using the MIPI interface.
  • Voice-Controlled IoT: Build offline voice assistants and audio event classifiers leveraging the I2S audio input and on-device KPU.
  • Industrial IoT Gateways: Aggregate sensor data via SPI/I2C/RS485 and transmit via Wi-Fi, Ethernet, or 4G for factory automation.
  • Educational AI & Robotics: Ideal platform for learning embedded machine learning, robotics vision, and TinyML with MicroPython support.
  • Smart Home Hubs: Develop central controllers for home automation, processing inputs from cameras and sensors locally.

Technical Specifications

Microcontroller / SoCKendryte K210 RISC-V Dual-Core 64-bit with FPU & NPU
AI Compute0.2 TOPS (KPU Neural Network Processor)
Wireless ProtocolsWi-Fi 802.11 b/g/n, Bluetooth 4.2/BLE
CPU Frequency800 MHz - 1.0 GHz
Memory64MB DDR2 (SIP)
StorageChoosable 16MB Flash, Dual SD Card Interfaces (SMHC)
Camera Interface2-lane MIPI CSI, up to 1080p@60fps
Display Interface8-bit MCU LCD
Video EncoderH.264, H.265, JPEG Hardware Encoder
Key InterfacesUSB, UART x2, SPI x2, I2C x4, I2S, 10/100 Ethernet (RMII), GPIO
Audio PortsLINEOUTP, MICIN1P/N
ADC1-channel 6-bit LRADC (for key input)
Antenna ConnectorIntegrated (External antenna included)
Dimensions (Board)Approx. 90mm x 120mm (from shipping data)

Frequently Asked Questions

What AI frameworks and development tools are supported for the Maix II M2 Dock?

The board is supported by the Kendryte K210 SDK (C/C++) and Sipeed's MaixPy, a MicroPython fork optimized for AI. You can use TensorFlow Lite for Microcontrollers or convert models via the NNCase toolchain. Development typically occurs in VSCode with PlatformIO or the official IDE. The KPU accelerates quantized 8-bit CNN models, requiring conversion from frameworks like TensorFlow or ONNX before deployment.

How do I connect a camera and what resolutions are supported?

Connect a compatible 2-lane MIPI CSI camera module to the board's connector. The K210's DVP interface can support sensor resolutions up to 1080p (1920x1080) at 60 frames per second. Ensure your camera sensor uses a standard MIPI signal. You'll need to configure the sensor via I2C within your firmware. The hardware video encoder can simultaneously stream H.264/H.265/JPEG outputs.

What is the power supply requirement and typical power consumption?

The board typically requires a 5V DC supply via its USB-C or dedicated power input pins. Exact current draw depends on active peripherals and CPU load. With Wi-Fi active and the NPU running a model, expect several hundred milliamps. The K210 supports several sleep modes to reduce consumption during idle periods for battery-powered applications. Always use a stable, regulated 5V source.

Package Includes

  • 1 x Sipeed Maix II M2 Dock Core Board
  • 1 x Bottom Plate
  • 1 x Antenna
  • 1 x Mounting Horn

Additional Information

Weight 0.02 kg
Dimensions 12 × 9 × 3 cm