Introducing The OpenMV Cam M7

The Next Generation OpenMV Cam

OpenMV Cam M7
  • More Horsepower

    The OpenMV Cam M7 is powered by the 216 MHz ARM Cortex M7 processor which can execute up to 2 instructions per clock

  • More RAM

    The OpenMV Cam M7 has 512KB of RAM enabling 640x480 grayscale images / video (up to 320x240 for RGB565 still)

  • More Afforable

    We optimized the OpenMV Cam M7 for production at MacroFab to lower the price to $65 retail ($55 to pre-order)

  • More Heap

    MicroPython has 64KB more heap space (~100KB total) with the OpenMV Cam M7 so you can do more in MicroPython now

Machine Vision with Python

The OpenMV project is about creating low-cost, extensible, Python powered, machine vision modules and aims at becoming the “Arduino of Machine Vision“. Our goal is to bring machine vision algorithms closer to makers and hobbyists. We’ve done the difficult and time-consuming algorithm work for you leaving more time for your creativity!

The OpenMV Cam is like an super powerful Arduino with a camera on board that you program in Python. We make it easy to run machine visions algorithms on what the OpenMV Cam sees so you can track colors, detect faces, and more in seconds and then control I/O pins in the real-world.


OpenMV Cam

Features

Just a few things the OpenMV Cam can do
Face/Eye Detection

You can use the OpenMV Cam to detect faces and find eyes using our built-in Haar Cascade feature detection algorithm. You can also precisely track pupils too.

Snapshots

The OpenMV Cam can save Grayscale or RGB565 BMP / JPG / PPM / PGM images to an attached μSD Card. You can also save timelapsed photos too.

Low Power

The OpenMV Cam uses less than 200 mA while processing images so you can use the OpenMV Cam like a microcontroller (Arduino) that's attached to your USB port.

Video Recording

You can save Grayscale or RGB565 MJPEG videos and Grayscale or RGB565 GIF images to an attached μSD Card. You can also overlay graphics / text on the video too.

Blob/Marker Tracking

The OpenMV Cam can track color blobs in Grayscale or RGB565 images. It can do multi-color / multi-blob tracking. Additionally, the OpenMV Cam can detect color codes too.

I/O Control

With the OpenMV Cam you can use machine vision to control I/O pins in the real world. The OpenMV Cam has a SPI bus, I2C bus, Async Serial bus (RX / TX), ADC, DAC, and more.

The OpenMV Cam is Expandable

The OpenMV Cam has a standard I/O pin layout so you can stack shields on it like an Arduino. We sell an LCD shield so you can see what the OpenMV Cam sees on-the-go, a prototyping shield so you can create your own custom circuit, a WiFi shield so you can connect to the internet, and a thermal imaging shield to see in the dark with.

The OpenMV Cam is Expandable

You code in Python

The OpenMV Cam runs the MicroPython operating system which allows you to program the OpenMV Cam using Python (Python 3 to be precise). Python makes working with machine visions algorithms much easier. For example, the find_blobs() method in the code finds color blobs and returns a list of 8-valued objects representing each color blob found. In Python iterating through the list of objects returned by find_blobs() and drawing a rectangle around each color blob is easily done in just two lines of code.

Finally, you program the OpenMV Cam using The OpenMV IDE which features a powerful text editor, frame buffer viewer so you can see what the camera sees, serial terminal for debugging, and a histogram display for making color tracking easy.

You code in Python

Standard M12 Lens Mount

The OpenMV Cam uses a standard M12 lens mount so you aren't limited by the 2.8mm lens the OpenMV Cam ships with. We sell a 4X telescopic zoom lens, an ultra-wide-angle 185° fish-eye lens, and an IR cut-filter-less lens for use with IR tracking applications.

Best of all, since we're using a standard M12 lens mount you can buy and attach more exotic M12 lenses to the OpenMV Cam yourself.

Standard M12 Lens Mount
  • Digital Image Filters

    Digital Image Filters

    The OpenMV Cam can segment the image using binary filters, do frame differencing, mean/median/mode filter the image and more.

    Note: All the pictures here were taken with the OpenMV Cam.

    Digital Image Filters
  • Face and Color Tracking

    Face and Color Tracking

    Face, eye, pupil, multi-blob color tracking, and more are built-into the OpenMV Cam. Tracking faces or colors has never been easier!

    Note: All the pictures here were taken with the OpenMV Cam.

    Face and Color Tracking
  • Lenses for any Application

    Lenses for any Application

    See farther with the telephoto lens, more with the ultra-wide angle lens, and IR beacons with the IR lens versus the standard lens.

    Note: All the pictures here were taken with the OpenMV Cam.

    Lenses for any Application