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Sipeed M0sense -RISC-V Development Board Based on BL702 with 0.68 Inch LCD Screen

SKU
114993026
Rating:
100 % of 100

Sipeed M0sense is an AIOT development board based on BL702 of Bouffalo Lab, it's RISC-V architecture, and supports low-energy Bluetooth. There is an 8Pins FPC connector for connecting the LCD screen, 1 microphone, 1 RGB LED and a six-axis sensor chip on this board. One USB 2.0 FS routes to the Type-C interface.

$5.99
Out of stock
  • 10+: $5.45

PRODUCT DETAILS

Sipeed M0sense is an AIOT development board based on BL702 of Bouffalo Lab, it's RISC-V architecture, and supports low-energy Bluetooth. There is an 8Pins FPC connector for connecting the LCD screen, 1 microphone, 1 RGB LED and a six-axis sensor chip on this board. One USB 2.0 FS routes to the Type-C interface.

Features

  • Powerful chip support: Main chip BL702 RISC-V 144MHz
  • Supporting edge machine learning: Developing Edge Computing and Machine Learning Capabilities with the TinyMaix Inference Framework
  • Provide human-computer interaction: Onboard screen interface (Optional 0.68 inch 80x160 solution screen)
  • Mass storage device: Thumb size but with 132KB RAM, 192KB ROM, 512KB Flash capacity
  • Bluetooth wireless transmission: Support BlueTooth V5.0

Description

Sipeed M0Sense is a thumb-sized development board based on the BL702 chip focused on AIOT edge computing development. Although small in size, it can be considered a large capacity in terms of edge computing and machine learning. It will exceed your imagination that can play a powerful performance. The development board is able to run AI Models via TinyMaix&MaixHub then unlock the amazing experience of AIOT edge computing, and support Drag&Drop Update Firmware too.

In addition, it can be used as a miniature machine learning module with a 0.68-inch 80x160 solution screen, 1 microphone, 1 RGB LED and a six-axis sensor chip. You can apply it to handwritten numeral recognition, keyword wake-up, gesture recognition, real-time people-flow counting and many more recognition detection items. With the microphone, you can make sound spectrogram analysis, human posture recognition using IMU, etc. It is a great option for machine learning aspects.

Application

  • Smart appliances
  • robot
  • Intelligent Vehicle engine
  • Intelligent access control
  • Interlligent agriculture
  • Passenger flow sraristics
  • retail
  • Handwritten Numeral Recognition

Specifications


CPU

BL702-32 bits RISC-V with FPU

Freq

Max 144MHz

Memory

132KB RAM,192KB ROM, 512KB Flash

Interfaces

Two 32-bit timerEight DMA channels
  • One SPI
  • Two UART
  • One I2C interface
  • One I2S
  • Five PWM
  • One 12-bit ADC
  • One 10-bit DAC

Wireless

  • 2.4Ghz BlueTooth V5.0
  • 1Mbps and 2Mbps Bluetooth low power

Port

USB 2.0 FS route to USB Type-C to burn firmware

Onboard components

Screen interface (Optional 0.68 inch 80x160 solution screen)

1×analog microphone

1× RGB LED

1×six-axis IMU(QMI8658A)

Ceramic antenna

Others

Dimension

23mm x 18mm

Supply Voltage

5V±10% 0.5A

LED

RGB Three color

Model platform

TinyMaix + MaixHub

Temperature rise:

<30K

Operating temperature

-10℃ ~ 65℃

Hardware Overview

Part List


Sipeed M0sense development board

1

pin header

1

0.68 inch 80x160 solution screen

1

ECCN/HTS

HSCODE 8471504090
USHSCODE 8543708800
UPC
EUHSCODE 8471707000
COO CHINA

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REVIEWS

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  1. Documentation
    100%
    Product Quality
    100%
    from order view
    excellent product, cheapest riscv board with display you could find
    By Anonymous
  2. Product Quality
    100%
    Documentation
    100%
    from order view
    good product
    By Anonymous

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