Current Product Don't Have Test Firmware
Note: pls, use PC chrome/edge browser, if can't connect, refresh the webpage.
1. Click connect button
2. After connected successfully, pick a firmware
3. Click the burn button
4. After burning successfully, Unplug the device and restart.
Choose the development platform you want to use, view the corresponding tutorial&quick-Start.
UNIT-V is the new AI Camera powered by Kendryte K210, an edge computing system-on-chip(SoC) with dual-core 64bit RISC-V CPU and state-of-art neural network processor.
UNIT-V AI Camera features its integration with machine vision capabilities, featuring the unprocessed acceptability to AI Visioning with high energy efficiency and low cost. We co-oped with Sipeed providing the MicroPython environment makes programming on UNIT-V easier.
Support MicroPython development environment, which makes the program code more concise when you use UNIT-V for project development.Equipped with OV2640 (2 megapixel) image sensor, it is an ideal choice for machine vision project.
It is equipped with two programmable keys and an RGB LED indicator on the front for convenient status display.At the bottom, there is a HY2.0*4P interface and a type-C interface compatible with grove, which is convenient to connect with the main controller. Support TF card to expand memory, related material and model file call more convenient.
This product is EOL now, we've released the updated version UnitV k210 Edge Computing AI Camera(OV7740)) which is fully compatible with this product.
UnitV/M5StickV/M5StickC/ATOM may not work without driver in some systems. Users can manually install
to fix this problem. Take the win10 environment as an example, download the driver file that matches the operating system, decompress it, and install it through the device manager. (Note: In some system environments, the driver needs to be installed twice for the driver to take effect. The unrecognized device name is usually
USB Serial. Windows recommends using the driver file to install directly in the device manager (custom Update), the executable file installation method may not work properly).
|Kendryte K210||Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal)|
|Input voltage||5V @ 500mA|
|KPU Neural network parameter size||5.5MiB - 5.9MiB|
|Interface||TypeC x 1, GROVE(I2C+I/0+UART) x 1|
|RGB LED||WS2812 x 1|
|External storage||TF Card/Micro SD|
|Product Size||40mm * 24mm * 13mm|
|Package Size||70mm * 50mm * 30mm|
|shell material||Plastic ( PC )|
The Kendryte K210 is a system-on-chip (SoC) that integrates machine vision. Using TSMC’s ultra-low-power 28-nm advanced process with dualcore 64-bit processors for better power efficiency, stability and reliability. The SoC strives for ”zero threshold” development and to be deployable in the user’s products in the shortest possible time, giving the product artificial intelligence
The chip contains a high-performance, low power RISC-V ISA-based dual core 64-bit CPU with the following features:
UNIT-V does not currently recognize all types of MicroSD cards. We have tested some common SD cards. The test results are as follows.
|Hardware||RGB LED||Button A||Button B|
If you want the complete code, please click here