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The OpenMV Cam is a small, low power, microcontroller board which allows you to easily implement applications using machine vision in the real-world. This is a R2 version.
If you have any questions on this product please feel free to contact us.
*Disclaimer: The images are merely illustrative.
The OpenMV Cam H7 comes with a MT9M114 image sensor is capable of taking 640x480 8-bit Grayscale images or 640x480 8-bit BAYER images at 40 FPS when the resolution is above 320x240 and 80 FPS when it is below. Most simple algorithms will run 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.
The STM32H743VI ARM Cortex M7 processor running at 480 MHz with 1MB SRAM and 2MB of 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.
Three I/O pins for servo control.
Interrupts and PWM on all I/O pins (there are 10 I/O pins on the board).
An RGB LED and two high power 850nm IR LEDs.
The OpenMV Cam can be used for the following things currently (more in the future):
Frame Differencing
Color Tracking
Marker Tracking
Face Detection
Eye Tracking
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
Processor | ARM® 32-bit Cortex®-M7 CPU |
w/ Double Precision FPU | |
480 MHz (1027 DMIPS) | |
Core Mark Score: 2400 | |
(compare w/ Raspberry Pi 2: 2340) | |
RAM Layout | 64KB Stack |
256KB .DATA/.BSS/Heap | |
512KB Frame Buffer/Stack | |
256KB DMA Buffers | |
Flash Layout | 128KB Bootloader |
128KB Embedded Flash Drive | |
1792KB Firmware | |
(2MB Total) | |
Supported Image Formats | Grayscale |
RGB565 | |
JPEG (and BAYER) | |
Maximum Supported Resolutions | Grayscale: 640x480 and under |
RGB565: 320x240 and under | |
Grayscale JPEG: 640x480 and under | |
RGB565 JPEG: 640x480 and under | |
Lens Info | Focal Length: 2.1mm |
Aperture: F2.0 | |
Format: 1/6" | |
HFOV = 60.7°, VFOV = 47.5° | |
Mount: M12*0.5 | |
IR Cut Filter: 650nm (removable) | |
Electrical Info | All pins are 5V tolerant with 3.3V output. All pins 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 between all pins. VIN may be between 3.6V and 5V. Do not draw more than 250mA from your OpenMV Cam's 3.3V rail. |
Weight | 19g |
Length | 45mm |
Width | 36mm |
Height | 30mm |
OpenMV Cam H7 x1
Pin Header x2
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The OpenMV Cam is a small, low power, microcontroller board which allows you to easily implement applications using machine vision in the real-world. This is a R2 version.