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 (courtesy of the MicroPython Operating System) 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.Features
The STM32F765VI ARM Cortex H7 processor running at 216 MHz with 512KB of RAM and 2 MB 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 ¦ÌSD Card socket capable of 100Mbs reads/writes which allows your OpenMV Cam to record video and easy pull machine vision assets off of the ¦ÌSD card.
A SPI bus that can run up to 54Mbs allowing you to easily stream image data off the system to either the LCD Shield, the WiFi Shield, or another microcontroller.
An I2C Bus, CAN Bus, and an Asynchronous Serial Bus (TX/RX) 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).
And, an RGB LED and two high power 850nm IR LEDs.
The OV7725 image sensor is capable of taking 640x480 8-bit Grayscale images or 640x480 16-bit RGB565 images at 60 FPS when the resolution is above 320x240 and 120 FPS when it is below. Most simple algorithms will run at above 30 FPS. Your OpenMV Cam comes with a 2.8mm lens on a standard M12 lens mount. If you want to use more specialized lenses with your OpenMV Cam you can easily buy and attach them yourself.Applications
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
Specification
Shipping List
OpenMV Cam H7 x1
Pin Header x2
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 (courtesy of the MicroPython Operating System) 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.Features
The STM32F765VI ARM Cortex H7 processor running at 216 MHz with 512KB of RAM and 2 MB 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 ¦ÌSD Card socket capable of 100Mbs reads/writes which allows your OpenMV Cam to record video and easy pull machine vision assets off of the ¦ÌSD card.
A SPI bus that can run up to 54Mbs allowing you to easily stream image data off the system to either the LCD Shield, the WiFi Shield, or another microcontroller.
An I2C Bus, CAN Bus, and an Asynchronous Serial Bus (TX/RX) 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).
And, an RGB LED and two high power 850nm IR LEDs.
The OV7725 image sensor is capable of taking 640x480 8-bit Grayscale images or 640x480 16-bit RGB565 images at 60 FPS when the resolution is above 320x240 and 120 FPS when it is below. Most simple algorithms will run at above 30 FPS. Your OpenMV Cam comes with a 2.8mm lens on a standard M12 lens mount. If you want to use more specialized lenses with your OpenMV Cam you can easily buy and attach them yourself.Applications
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
Specification
Shipping List
OpenMV Cam H7 x1
Pin Header x2
RETURNS POLICY
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SHIPPING
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Curabitur vel sem mi. Proin in lobortis ipsum. Aliquam rutrum tempor ex ac rutrum. Maecenas nunc nulla, placerat at eleifend in, viverra etos sem. Nam sagittis lacus metus, dignissim blandit magna euismod eget. Suspendisse a nisl lacus. Phasellus eget augue tincidunt, sollicitudin lectus sed, convallis desto. Pellentesque vitae dui lacinia, venenatis erat sit amet, fringilla felis. Nullam maximus nisi nec mi facilisis.