OpenMV Cam M7 ? A Machine Vision Camera

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 M7 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 μSD Card socket capable of 100Mbs reads/writes which allows your OpenMV Cam to record video and easy pull machine vision assets off of the μSD 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|

Processor	ARM® 32-bitCortex®-M7 CPU w/ Double Precision FPU 216 MHz (462 DMIPS) Core Mark Score: 1082 (compare w/ Raspberry Pi Zero: 2060)
RAMLayout	128KB.DATA/.BSS/Heap/Stack 384KB Frame Buffer/Stack (512KB Total)
FlashLayout	32KB Bootloader 96KB Embedded Flash Drive 1920KB Firmware (2MB Total)
SupportedImage Formats	Grayscale RGB565 JPEG (and BAYER)
MaximumSupported Resolutions	Grayscale: 640x480and under RGB565: 320x240 and under Grayscale JPEG: 640x480 and under RGB565 JPEG: 640x480 and under
LensInfo	Focal Length: 2.8mm Aperture: F2.0 Format: 1/3" Angle (Field-of-View): 115° Mount: M12*0.5 IR Cut Filter: 650nm (removable)
ElectricalInfo	All pins are 5Vtolerant with 3.3V output. All pins can sink or source up to 25mA. P6 is not 5Vtolerant in ADC or DAC mode. Up to 120mA may be sinked or sourced in totalbetween all pins. VIN may be between 3.6V and 5V. Do not draw more than 250mAfrom your OpenMV Cam's 3.3V rail.
Weight	16g
Length	45mm
Width	36mm
Height	30mm

|Documents|

Quick reference for the openmvcam

OpenMV Cam Schematic

Unofficial 3D CAD Model

|ShippingList|

OpenMV Cam M7 x1

Pin Header x2