Note: OpenMV Cam H7 Plus will be restocked by June 2024. The OpenMV Cam is a small, low power, microcontroller board which allows you to easily implement applications using machine vision in the real-world. You program the OpenMV Cam in high level Python scripts(courtesy of the MicroPython Operating System) instead of C/C++. This makes it easier to deal with the complex outputs of machine vision algorithms and working with high level data structures. But, you still have total control over your OpenMV Cam and its I/O pins in Python. You can easily trigger taking pictures and video on external events or execute machine vision algorithms to figure out how to control your I/O pins. Interface Library： The OpenMV Cam comes built-in with an RPC (Remote Python/Procedure Call) library which makes it easy to connect the OpenMV Cam to your computer, a SBC (single board computer) like the RaspberryPi or Beaglebone, or a microcontroller like the Arduino or ESP8266/32. The RPC Interface Library works over: Async Serial (UART) - at up 7.5 Mb/s. I2C Bus - at up to 1 Mb/s. SPI Bus - at up to 80 Mb/s. CAN Bus - at up to 1 Mb/s. USB Virtual COM Port (VCP) - at up to 12 Mb/s. WiFi using the WiFi Shield - at up to 12 Mb/s. OpenMV provides the following libraries for interfacing your OpenMV Cam to other systems below: Generic Python Interface Library for USB and WiFi Comms Provides Python code for connecting your OpenMV Cam to a Windows, Mac, or Linux computer (or Raspberry Pi/Beaglebone, etc.) with python programmatically over USB VCP or Ethernet/ WiFi (i.e. with sockets). Arduino Interface Library for I2C, SPI, CAN, and UART Comms
