SKU: SBCD-1544
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Sipeed M1n Module AI Dev Kit (K210 RISC-V)

₹1,349.00 (Inclusive of all taxes)
Out of Stock

The Sipeed M1n Module AI Development Kit features the powerful Kendryte K210 RISC-V dual-core processor, offering integrated AI capabilities like face detection and object recognition. Designed for makers and developers, it includes an M1n module, Type-C adapter, and a camera for immediate AI application development.

Features

  • Features the Kendryte K210 RISC-V 64-bit dual-core processor (400 MHz).
  • Integrated Neural Processing Unit (NPU) with 1 TOPs for accelerated AI inference.
  • Supports real-time face detection, object recognition, and FFT spectrogram analysis.
  • M.2 interface for the module, with an included Type-C adapter board for connectivity and code download.
  • Comes with a camera for vision-based AI applications right out of the box.

Out of stock

Description

The Sipeed M1n Module AI Development Kit centers around the K210 chip, a potent RISC-V 64-bit dual-core processor with a standard frequency of 400 MHz, capable of overclocking. This module stands out with its integrated Neural Processing Unit (NPU), delivering 1 TOPs performance for highly efficient on-device AI tasks. It excels in applications such as facial recognition, object detection, and complex FFT spectrogram analysis, bringing advanced AI capabilities to compact embedded systems.

Designed for flexibility, the M1n module connects via its M.2 interface to the included Type-C adapter board. This adapter simplifies the development process by providing USB-to-UART functionality for easy code downloading. Additionally, the adapter board exposes 2.54mm pins, allowing developers to extend functionality with custom hardware integrations. The kit is further enhanced with a ZV-T01-GA4.2 camera, enabling direct image and video acquisition for vision-based AI projects.

Sipeed supports an accessible development ecosystem with its custom Maixpy IDE, tailored specifically for AI processing on the K210. For developers familiar with broader platforms, the M1n module is also compatible with the Arduino IDE and PlatformIO IDE, offering diverse options for programming, debugging, and deploying applications. This broad support ensures a flexible and familiar environment for both beginners and experienced embedded engineers.

Key Features

  • RISC-V 64-bit dual-core processor, standard 400 MHz frequency (overclockable).
  • Dedicated Neural Processing Unit (NPU) delivering 1 TOPs for AI acceleration.
  • Supports QVGA@60FPS / VGA@30FPS for high-performance image recognition tasks.
  • High-performance microphone array processor, supporting arrays of up to 8 microphones for machine hearing.
  • Compatible with popular deep learning frameworks including Tensorflow, Keras, and Darknet.
  • Rich peripheral set including FPIOA, UART, GPIO, SPI, I2C, I2S, WDT, TIMER, and RTC.
  • Flexible M.2 interface for the core module, paired with a Type-C adapter board for easy integration.
  • Integrated USB to UART function on the adapter board for convenient code flashing and debugging.

Applications

  • Face detection and recognition systems for security or access control.
  • Object recognition and classification for smart vision applications.
  • Real-time FFT spectrogram analysis for audio processing.
  • Embedded vision systems for robotics and industrial automation.
  • Smart home automation with integrated AI capabilities.
  • Educational platforms for RISC-V architecture and edge AI development.

Technical Specifications

ProcessorKendryte K210 (RISC-V 64-bit dual-core)
CPU Frequency400 MHz (overclockable)
NPU Performance1 TOPs
Image RecognitionQVGA@60FPS / VGA@30FPS (Max 640x480 resolution)
Voice RecognitionSupports up to 8 microphone arrays
Deep Learning FrameworksTensorflow, Keras, Darknet
PeripheralsFPIOA, UART, GPIO, SPI, I2C, I2S, WDT, TIMER, RTC
Module InterfaceM.2
Adapter InterfaceType-C, 2.54mm pins
Debugging SupportHigh-speed UART, JTAG (wire bond pads only)
Supply Voltage5.0V ±0.2V (External)
Supply Current>300mA @ 5V
Temperature Rise< 30K
Operating Temperature-30 °C ~ 85 °C
Software SupportMaixpy IDE, Arduino IDE, PlatformIO IDE, FreeRTOS, MicroPython

Frequently Asked Questions

What is the core processor of the Sipeed M1n Module?

The Sipeed M1n Module is powered by the Kendryte K210, a RISC-V 64-bit dual-core processor. It operates at a standard frequency of 400 MHz and includes a dedicated Neural Processing Unit (NPU) capable of 1 TOPs for accelerated AI tasks on the edge.

Which development environments are supported for the M1n module?

Developers can use Sipeed's custom Maixpy IDE, optimized for AI processing on the K210. Additionally, the module supports popular ecosystems like the Arduino IDE and PlatformIO IDE, providing flexibility for diverse programming preferences and project requirements.

What are the main AI applications supported by the K210 chip?

The K210 chip is designed for various edge AI applications, including real-time face detection, object recognition, and classification. Its integrated NPU efficiently handles convolutional neural network operations, making it suitable for embedded vision and machine hearing projects.

How is code downloaded to the Sipeed M1n module?

The Sipeed M1n module connects via its M.2 interface to an included Type-C adapter board. This adapter board features a USB to UART function, enabling straightforward code downloading. Additionally, the adapter exposes 2.54mm pins for extended DIY integration.

Package Includes

  • 1x Sipeed AI M1n core module (M.2)
  • 1x Type-C to M.2 adapter
  • 1x ZV-T01-GA4.2 camera

Additional Information

Weight 0.08 kg
Dimensions 10 × 5 × 1 cm