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UnitV-M12

SKU:U078-V-M12

Description

Unit V-M12 is a unique AI camera unit featuring an M12 lens specification and equipped with a K210 processor. It integrates a dual-core 64-bit RISC-V CPU and a neural network processor edge computing system-on-chip, offering powerful hardware configuration. The included OV7740 wide-angle camera module adheres to the M12 optical lens specification and supports the replacement of other M12 lenses, providing flexibility for various shooting scenarios.

The camera body features two programmable buttons for quick access to specific functions, along with a TF card expansion slot to meet data storage needs. The bottom provides a HY2.0-4P interface and a TYPE-C interface, enabling easy data connection with the main control device.

Unit V-M12 is compact, making it easy to embed into various devices. It boasts excellent machine vision processing capabilities, supporting multiple image recognition functions such as real-time acquisition of target size, coordinates, and type information. It also performs convolutional neural network calculations, offering a low-threshold machine vision embedded solution suitable for a wide range of applications requiring machine vision.

Features

  • Dual-core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz (Normal)
  • Double-precision FPU
  • 8MiB 64-bit on-chip SRAM
  • Neural Network Processor (KPU) / 0.8Tops
  • Programmable I/O Array (FPIOA)
  • AES, SHA256 Accelerator
  • Direct Memory Access Controller (DMAC)
  • MicroPython Support
  • Firmware Encryption Support
  • Onboard Hardware Resources:
    • Flash: 16M
    • Camera: OV7740
    • Buttons: 2
    • Expansion Card Interface: TF card/Micro SD
    • Interface: HY2.0/compatible GROVE

Includes

  • 1 x UnitV-M12
  • 1 x HY2.0-4P Grove Cable (20cm)
  • 1 x USB Type-C Cable (1m)

Applications

  • Object Detection/Classification
  • Real-time Acquisition of Target Size and Coordinates
  • Real-time Acquisition of Detected Target Types
  • Shape Recognition
  • Video Recording

Specifications

Specification Parameters
Kendryte K210 Dual-core 64-bit RISC-V RV64IMAFDC (RV64GC) CPU / 400Mhz (Normal)
SRAM 8M
Flash 16M
Input Voltage 5V @ 500mA
KPU Neural Network Size 5.5M-5.9M
Interface TypeC x 1, HY2.0-4P (I2C+I/O+UART) x 1
Buttons Custom Buttons x 2
Camera M12 Specification Wide-angle OV7740
FOV 80°
External Storage TF Card/Micro SD
Housing Material Plastic (PC) + CNC Metal
Product Dimensions 40 x 24 x 16.4mm
Package Dimensions 70 x 50 x 30mm
Product Weight 13.9g
Gross Weight 52.6g

Learn

SD Card Test

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

PinMap

UnitV-M12

UnitV G8 G19 G18 G34, G35
Hardware RGB LED Button A Button B
HY2.0-4P Interface

Model Size

module size

Datasheets

Softwares

Quick Start

Arduino

Video

  • Color Recognition Example

FAQ

Question: What if the computer cannot detect the device?

  • UnitV may not work without drivers on some systems. Users can manually install the FTDI driver ( https://ftdichip.com/drivers/vcp-drivers/ ) to fix this issue. For example, in a Win10 environment, download the driver file matching the operating system, extract it, and install it via the Device Manager. (Note: In some system environments, the driver may need to be installed twice to take effect. The unrecognized device name is usually M5Stack or Serial. Windows recommends using the driver file for direct installation in the Device Manager (custom update), as the executable installation method may not work properly.)