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OpenMV Cam H7 Plus

by OpenMV
SKU 3798
£69.99 inc VAT
£58.33 ex VAT
6 in stock.

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 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.

  • The STM32H743II ARM Cortex M7 processor running at 480 MHz with 32MBs SDRAM + 1MB of SRAM and 32 MB of external flash + 2 MB of internal flash. All I/O pins output 3.3V and are 5V tolerant. The processor has the following I/O interfaces:
    • A full speed USB (12Mbs) interface to your computer. Your OpenMV Cam will appear as a Virtual COM Port and a USB Flash Drive when plugged in.
    • A μSD Card socket capable of 100Mbs reads/writes which allows your OpenMV Cam to take pictures and easily pull machine vision assets off of the μSD card.
    • A SPI bus that can run up to 80Mbs allowing you to easily stream image data off the system to either the LCD Shield, the WiFi Shield, or another microcontroller.
    • An I2C Bus (up to 1Mb/s), CAN Bus (up to 1Mb/s), and an Asynchronous Serial Bus (TX/RX, up to 7.5Mb/s) for interfacing with other microcontrollers and sensors.
    • A 12-bit ADC and a 12-bit DAC.
    • Two I/O pins for servo control.
    • Interrupts and PWM on all I/O pins (there are 10 I/O pins on the board).
    • And, an RGB LED and two high power 850nm IR LEDs.
    • 32 MB of external 32-bit SDRAM clocked at 100 MHz for 400 MB/s of bandwidth.
    • 32 MB of external quadspi flash clocked at 100 MHz in 4-bit DDR mode for 100 MB/s of bandwidth (read speed).
  • A removable camera module system allowing the OpenMV Cam H7 to interface with different sensors:
    • The OpenMV Cam H7 Plus comes with a OV5640 image sensor is capable of taking 2592x1944 (5MP) images. Most simple algorithms will run between 25-50 FPS on QVGA (320x240) resolutions and below. Your image sensor comes with a 2.8mm 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.
  • A LiPo battery connector compatible with 3.7V LiPo batteries

Applications

The H7 plus can be used for

  • TensorFlow Lite for Microcontrollers Support
  • Frame Differencing
  • Colour Tracking
  • Marker Tracking
  • Face Detection
  • Eye Tracking
  • Person Detection
  • Optical Flow
  • QR Code Detection/Decoding
  • Data Matrix Detection/Decoding
  • Linear Barcode Decoding
  • AprilTag Tracking
  • Line Detection
  • Circle Detection
  • Rectangle Detection
  • Template Matching
  • Image Capture
  • Video Recording

Specifications

  • Processor: ARM® 32-bit Cortex®-M7 CPU w/ Double Precision FPU 480 MHz (1027 DMIPS) Core Mark Score: 2400
  • RAM: 64KB Stack, 256KB .DATA/.BSS/Heap, 32MB Frame Buffer/Stack, 512KB SDRAM Cache, 256KB DMA Buffers
  • Supported Image Formats: Grayscale, RGB565, JPEG (and BAYER)
  • Max Resolutions: Grayscale: 2952x1944 (5MP) and under, RGB565: 2952x1944 (5MP) and under, Grayscale JPEG: 2952x1944 (5MP) and under, RGB565 JPEG: 2952x1944 (5MP) and under
  • Lens: Focal Length: 2.8mm, Aperture: F2.0, Format: 1/3", HFOV = 70.8°, VFOV = 55.6°, Mount: M12*0.5, IR Cut Filter: 650nm (removable)
  • Dimensions: 45 x 36 x 29mm
  • Weight: 17g

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.
      • SB Virtual COM Port (VCP) - at up to 12 Mb/s.

With the RPC Library you can easily get image processing results, stream RAW or JPG image data, or have the OpenMV Cam control another Microcontroller for lower-level hardware control like driving motors. 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 RaspberryPi/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