$55 OpenMV Cam M7 Open Source Computer Vision Board is Powered by an STM32F7 Cortex-M7 MCU

I wrote about Jevois-A33 computer vision camera based on Allwinner A33 quad core Cortex A7 processor last week, and today, I’ve come across OpenMV Cam M7 open source computer vision board based on a much less powerful STMicro STM32F7 ARM Cortex M7 micro-controller, but with the advantage of consuming less power, and exposing some extra I/Os.

openmv-cam-m7OpenMV Cam M7 board specifications & features:

  • MCU – STMicro STM32F765VI ARM Cortex M7 @ up to 216 MHz with 512KB RAM, 2 MB flash.
  • External Storage – micro SD slot
  • Camera
    • Omnivision OV7725 image sensor supporting 640×480 8-bit grayscale images or 320×240 16-bit RGB565 images at 30 FPS
    • 2.8mm lens on a standard M12 lens mount
  • USB – 1x micro USB port (Virtual COM Port and a USB Flash Drive)
  • Expansion – 2x 8-pin headers with SPI, I2C CAN bus, asynchronous serial bus (Tx/Rx), 12-bit ADC, 12-bit DAC, 3x I/Os for servo control; interrupts and PWM on all I/O pins; 3.3V (5V tolerant)
  • Misc – RGB LED and 2x 850nm IR LEDs
  • Power Supply – 5V via micro USB port, 3.6 to 5V via VIN pin
  • Power Consumption (@ 3.3V) – Idle: 110mA;  active no μSD Card: 190mA; active with μSD Card: 200mA
  • Dimensions – 45 x 36 x 30 (H) mm
  • Weight – 16 grams
Click to Enlarge
Click to Enlarge

The camera board supports frame differencing (motion detection), marker tracking, face detection, eye tracking, color tracking (up to 32 colors at the same time), optical flow, edge/line detection, template matching, image capture (BMP/JPG/PPM/PGM), and video recording (MJPEG/GIF). Programming is done in OpenMV IDE using MicroPython language. You’ll find more details in OpenMV Cam’s documentation, and watch a description of the board and a QR code detection demo in the video below.


The computer vision board can be pre-ordered now for $55 on the product page with shipping scheduled for March 2017.

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