With the OpenMV Cam M7 Smart Vision Camera, you can quickly apply machine vision applications in the real world thanks to its tiny size and low power consumption. Rather than using C/C++ to program the OpenMV Cam, you can use high-level Python programs thanks to the MicroPython Operating System.
This facilitates dealing with high-level data structures and handling the complex outputs of machine vision algorithms. However, you still have complete Python control over your OpenMV Cam’s I/O pins. You can just use machine vision algorithms to manage your I/O pins, or you can initiate the shooting of images and movies based on external events.
Pinout:
Features:
- microSD card socket capable of 100Mbs read or write.
- SPI bus runs up to 54Mbs allowing easy stream image data.
- I2C bus CAN bus, and asynchronous serial bus (TX/RX) for interfacing with microcontrollers and sensors.
- Three I/O pins for servo control.
- Interrupts and Pulse Width Modulation (PWM) on all 10 I/O pins.
- RGB LED and two high power 850nm IR LEDs.
- OV7725 image sensor capable of 640 x 480 8-bit grayscale or 320 x 240 16-bit RGB565 images at 30 FPS.
- OpenMV camera comes with a 2.8mm lens on a standard M12 lens mount.
Applications:
- Frame differencing.
- Color 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 | STM32F765VI Arm® Cortex® M7 |
|---|---|
| Operating frequency (MHz) | 216 |
| RAM (KB) | 512 |
| Flash | 2 MB |
| ADC and DAC Bit | 12 |
| OpenMV camera lens | 2.8 mm |
| OV7725 image Pixel | 640 x 480 8-bit grayscale |
| Length (mm): | 45.5 |
| Width (mm) | 36.5 |
| Height (mm) | 26 |
| Weight (gm) | 20 |
| Shipping Weight | 0.022 kg |
| Shipping Dimensions | 8 × 7 × 4 cm |
Package Includes:
1 x OpenMV Cam M7 Module.
2 x 8*1 Burg Pins (Straight) (Unsoldered).
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