- PRODUCT DETAILS
Description
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.
Product Features
- Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal)
- Dual Independent Double Precision FPU
- 8MiB 64bit width On-Chip SRAM
- Neural Network Processor(KPU) / 0.8Tops
- Field-Programmable IO Array (FPIOA)
- AES, SHA256 Accelerator
- Direct Memory Access Controller (DMAC)
- Micropython Support
- Firmware encryption support
- Case Material: PC + ABS
- On-board Hardware resources:
- Flash: 16M
- Camera :OV2640
- Button: button * 2
- Indicator light: WS2812 LED
- External storage: TF card/Micro SD
- Interface: HY2.0/compatible GROVE
Include
- 1x UNIT-V(include 20cm 4P cable and USB-C cable)
Applications
- Face recognition/detection
- Object detection/classification
- Obtaining size and coordinates of the target in real-time
- Obtaining the type of detected target in real-time
- Shape recognition
- Video recoder
Driver Installation
Connect the device to the PC, open the device manager to install
FTDI driver
for the device. Take the win10 environment as an example, download the driver file that matches the operating system, unzip 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 M5Stack or 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).
Click here to download FTDI driver
Specification
| Resources | Parameter |
|---|---|
| Kendryte K210 | Dual-Core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz(Normal) |
| SRAM | 8MiB |
| Flash | 16M |
| 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 |
| Button | x 2 |
| Image Sensor | OV2640 |
| FOV | 65deg |
| External storage | TF Card/Micro SD |
| Net weight | 8g |
| Gross weight | 45g |
| Product Size | 40mm * 24mm * 13mm |
| Package Size | 70mm * 50mm * 30mm |
| shell material | Plastic ( PC ) |