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OpenMV Cam M7 for machine vision, with protection case and connectors

OpenMV Cam M7 for machine vision, with protection case and connectors

| A-000000-03120

OpenMV Cam M7 for machine vision, with protection case and connectors, is a microcontroller equipped with a colour and black and white camera that you can program in Python to implement picture and video recording in your electronics project.

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€79.90
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OpenMV Cam M7 for machine vision, with protection case and connectors: a smart, highly efficient camera

Line Detection with the OpenMV Cam M7

The OpenMV module allows you to add smart, autonomous and accurate machine vision to all your projects. You can notably enrich them with various capabilities such as face recognition, coloured target or pupil tracking, motion sensing, etc. Fitted with a 32-bit 216 MHz processor, 512 KB of RAM memory and 2 MB of Flash memory, this microcontroller is programmable in Python via a MicroPython interpreter and can handle the most complex video data. The open-source development environment (IDE OpenMV) is both Windows and Linux compatible.

OpenMV Cam M7 Machine Vision Camera

OpenMV Cam M7 Machine Vision Camera

Its series, I2C and SPI interfaces make it possible to rapidly connect your Arduino or your Raspberry Pi to control your project. This machine vision camera is capable of taking grayscale or RGB images in various resolutions up to 640 x 480 thanks to a precise and efficient lens. And we’re not forgetting the numerous 3.3V and 5V compatible I/O ports with PWM, I2C and SPI buses, plus the analogue-to-digital/digital-to-analogue data converter.

A scalable sensor for machine vision

  • Many evolution opportunities are available for your OpenMV Cam M7, starting with the use of a more specialised lens. You can easily buy and attach one yourself, as long as it’s compatible with the microcontroller’s standard mount.
  • Another customising option consists in connecting plug-in modules to your microcontroller, such as an HDMI display for image visualisation, a servo or other shields to add a thermal imaging function to your OpenMV module, for instance.

Technical specifications of the OpenMV Cam M7

  • ARM® 32-bit Cortex®-M7 CPU with double precision FPU, 216 MHz (462 DMIPS), core mark score: 1082 (compare with a Raspberry Pi Zero: 2060)
  • RAM layout: 128 KB (.DATA/.BSS/Heap/Stack), 384 KB for the buffer (512 KB in total)
  • Flash layout: 32 KB for the bootloader, 96 KB for the embedded Flash drive, 1920 KB for the firmware (2 MB in total)
  • Supported image formats: grayscale, RGB565, JPEG (and BAYER)
  • Max. supported resolutions:
  • Grayscale: 640 × 480 and under
  • RGB565: 320 × 240 and under
  • Grayscale JPEG: 640 × 480 and under
  • RGB565 JPEG: 640 × 480 and under
  • Lens:
  • Focal length: 2.8 mm
  • Aperture: F2.0
  • Size: 1/3”
  • Angle (field of view): 115°
  • Mount: M12*0.5
  • 650 nm IR filter (removable)
  • Electrical info:
  • All pins are 5V tolerant with 3.3V output and can sink or source up to 25mA (P6 is not 5V tolerant in ADC or DAC mode)
  • Up to 120mA may be sinked or sourced in total
  • VIN: 3.6–5 V
  • Do not draw more than 250 mA from the 3.3V rail
  • Weight: 16 g
  • Dimensions: 45 × 36 × 30 mm
  • Consumption:
  • Idle (no microSD card): 110 mA @ 3.3 V
  • Idle (microSD card): 110 mA @ 3.3 V
  • Active (no microSD card): 190 mA @ 3.3 V
  • Active (microSD card): 200 mA @ 3.3 V
  • Temperature range:
  • Storage: -40°C to 125°C
  • Operating: -20°C to 70°C

  • Included:
    • Protection case made of clear plastic:
      • Weight: 14g
      • Length : 51mm
      • Width : 43mm
      • Height: 15mm

    Resources for the OpenMV

    Immerse yourself in the world of the OpenMV Cam M7 for machine vision, with protection case and connectors, thanks to the resources we’ve gathered for you below:

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