SKU:U078






UnitV-OV2640 is an AI vision processing camera unit equipped with the Kendryte K210, integrating a dual-core 64-bit RISC-V CPU and an advanced neural network processor edge computing system-on-chip. The UnitV-OV2640 AI camera is very compact, making it suitable for embedding into various devices. It has machine vision processing capabilities, supports multiple image recognition functions (such as real-time acquisition of the size and coordinates of detected objects, and real-time acquisition of the types of detected objects), and can perform convolutional neural network calculations under low power consumption. Therefore, UnitV-OV2640 is an excellent zero-threshold machine vision embedded solution. It supports the MicroPython development environment, making your project development code more concise. Equipped with the OV2640 2-megapixel image sensor, it is an ideal choice for machine vision projects. The body features two programmable buttons and a front-facing RGB LED indicator for easy status display. The bottom provides a HY2.0-4P compatible interface and a TYPE-C interface for connecting to the main control device. It supports TF card expansion for easier access to related materials and model files.
| Specification | Parameters |
|---|---|
| Kendryte K210 | Dual-core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz (Normal) |
| SRAM | 8Mbit |
| Flash | 16M |
| Input voltage | 5V @ 500mA |
| KPU Neural Network Size | 5.5MiB-5.9MiB |
| Interface | Type-C x 1, HY2.0-4P (I2C+I/O+UART) x 1 |
| RGB LED | WS2812 x 1 |
| Buttons | Custom buttons x 2 |
| Camera | OV2640 |
| FOV | 65° |
| External storage | TF Card/microSD |
| Net weight | 8g |
| Gross weight | 45g |
| Product Size | 40 x 24 x 13mm |
| Package Size | 70 x 50 x 30mm |
| Casing material | Plastic (PC) |
Kendryte K210 is a system-on-chip (SoC) with integrated machine vision capabilities. Using TSMC's ultra-low-power 28nm advanced process, it features a dual-core 64-bit processor with excellent power efficiency, stability, and reliability. This solution aims for zero-threshold development, enabling rapid deployment in user products with AI applications.
This product features a dual-core 64-bit high-performance low-power CPU based on RISC-V ISA, with the following characteristics:
Unit V currently cannot recognize all types of microSD cards. We have tested some common microSD cards, and the results are as follows.

| Brand | Memory | Type | Transfer Speed | Partition Format | Test Result |
|---|---|---|---|---|---|
| Kingston | 8G | HC | Class4 | FAT32 | OK |
| Kingston | 16G | HC | Class10 | FAT32 | OK |
| Kingston | 32G | HC | Class10 | FAT32 | NO |
| Kingston | 64G | XC | Class10 | exFAT | OK |
| SanDisk | 16G | HC | Class10 | FAT32 | OK |
| SanDisk | 32G | HC | Class10 | FAT32 | OK |
| SanDisk | 64G | XC | Class10 | / | NO |
| SanDisk | 128G | XC | Class10 | / | NO |
| XIAKE | 16G | HC | Class10 | FAT32 | OK (Purple) |
| XIAKE | 32G | HC | Class10 | FAT32 | OK |
| XIAKE | 64G | XC | Class10 | / | NO |
| TURYE | 32G | HC | Class10 | / | NO |
| UnitV | G8 | G19 | G18 | G34, G35 |
|---|---|---|---|---|
| Hardware | RGB LED | Button A | Button B | |
| HY2.0-4P | Interface |
Choose the development platform you want to use and check the corresponding tutorial & quick start.



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