Sipeed M0sense -RISC-V Development Board Based on BL702 with 0.68 Inch LCD Screen
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.
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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
|
Wireless |
|
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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from order viewexcellent product, cheapest riscv board with display you could find
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from order viewgood product