The OpenMV H7 R2 Camera is a small, low-power microcontroller board that allows you to easily implement applications using machine vision in the real world. The best part about the OpenMV is that it is not only capable of image capture, but also face detection, color tracking, QR code reading and plenty more.
The OpenMV H7 R2 has the STM32H743VI ARM Cortex M7 processor running at 480 MHz with 1MB of RAM and 2 MB of flash. It comes with a MT9M114 image sensor which is capable of taking 640x480 images. Most simple algorithms will run at between 40-80 FPS on QVGA (320x240) resolutions and below.
Your image sensor comes with a 2.1mm lens on a standard M12 lens mount. If you want to use more specialized lenses with your image sensor you can easily buy and attach them yourself. Additionally, the OpenMV H7 features removable camera modules which allow you to use the module with Global Shutter and FLIR Lepton sensors for advanced machine vision applications.
The OpenMV can be programmed in high-level Python scripts. Python makes working with machine visions algorithms much easier.
With the OpenMV Cam you can use machine vision to control I/O pins. The OpenMV Cam has a SPI bus, I2C bus, Async Serial bus (RX / TX), ADC, DAC, and more.
More information is available on the website OpenMV.