SKU: IOWC-0606
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OpenMV Cam H7 R2 Machine Vision Microcontroller Board

₹9,929.00 (Inclusive of all taxes)
Out of Stock

The OpenMV Cam H7 R2 is a low-power microcontroller board designed for real-world machine vision applications, programmable in MicroPython for easy control of I/O pins and vision algorithms.

Features

  • ARM Cortex-M7 processor running at 480 MHz with 1 MB SRAM for high-speed image processing.
  • Programmable in MicroPython for rapid development of vision-based automation and control logic.
  • Removable camera module system for flexibility with different image sensors.
  • Comprehensive I/O includes SPI (80 Mbps), I2C, CAN, UART, 12-bit ADC/DAC, PWM, and servo control.
  • Onboard full-speed USB, μSD card slot, RGB LED, and high-power IR LEDs for integrated development.

Out of stock

Description

The OpenMV Cam H7 R2 is a compact, embedded machine vision platform centered around a powerful ARM Cortex-M7 processor. It provides a complete hardware and software ecosystem for implementing computer vision in IoT devices, robots, and industrial systems without the complexity of a full Linux SBC. The board runs a MicroPython interpreter, giving developers high-level control over camera functions, I/O pins, and peripherals while maintaining low-power operation suitable for battery-powered applications.

Its architecture includes a high-speed SPI bus for streaming image data to displays or wireless shields, alongside standard communication interfaces like I2C, CAN, and asynchronous serial for sensor integration. The removable camera module offers adaptability for different vision tasks, supported by onboard IR LEDs for low-light operation. With its 3.3V, 5V-tolerant GPIO, dedicated ADC/DAC channels, and PWM capabilities on all I/O pins, the H7 R2 serves as a versatile vision-based controller for automation and sensing projects.

Key Features

  • High-performance ARM Cortex-M7 core enables real-time execution of machine vision algorithms like color tracking, face detection, and AprilTags.
  • MicroPython firmware allows for rapid prototyping and scripting of complex vision workflows directly on the microcontroller.
  • Flexible camera interface supports swapping different image sensor modules for varied field-of-view, resolution, or spectral sensitivity needs.
  • Integrated high-power 850nm IR LEDs provide illumination for night-vision or low-light imaging applications.
  • Comprehensive peripheral set includes USB Mass Storage and Virtual COM Port for easy programming and data logging.
  • Extensive I/O with interrupts, PWM, and 5V tolerance simplifies integration with motors, servos, and other actuators.
  • Dedicated μSD card socket enables high-speed storage for capturing images, videos, or loading asset libraries offline.

Applications

  • Robot guidance and navigation using visual fiducial markers or object tracking.
  • Smart home automation for presence detection, gesture control, or security monitoring.
  • Industrial machine vision for quality inspection, part sorting, or barcode reading.
  • Educational platform for learning embedded systems, computer vision, and Python programming.
  • Surveillance systems with edge-based motion detection or people counting.

Technical Specifications

Processor / SoCARM Cortex-M7
Operating Frequency480 MHz
SRAM1 MB
Programming LanguageMicroPython
Key InterfacesUSB (12 Mbps), μSD Card, SPI (80 Mbps), I2C (1 Mbps), CAN (1 Mbps), UART (7.5 Mbps)
Analog I/O12-bit ADC, 12-bit DAC
Digital I/O10x GPIO (PWM, Interrupts, 5V tolerant)
Special FeaturesRGB LED, 2x High-Power IR LEDs, Removable Camera Module
Supply VoltageVia USB 5V
Dimensions (Shipping)10 x 8 x 3 cm

Frequently Asked Questions

What programming environment is used for the OpenMV Cam H7 R2?

The OpenMV Cam H7 R2 is programmed using the OpenMV IDE, which is based on MicroPython. You write Python scripts directly on the board to control the camera, run vision algorithms like blob detection or face recognition, and interface with its GPIO pins. The board connects via USB, appearing as a serial port and a flash drive for easy code upload and asset management without needing external compilers.

Can I use my own camera module with the OpenMV H7 board?

Yes, the OpenMV Cam H7 R2 features a removable camera module system. While it ships with a specific sensor, the standard FPC connector allows compatibility with other supported OpenMV camera modules. You can swap modules to change resolution, field of view, or lens type. Ensure any replacement module is electrically compatible and supported by the OpenMV firmware library for seamless integration into your vision application.

How do I power the OpenMV Cam and what is its power consumption?

The primary power source is the onboard USB connector, providing 5V. For standalone operation, you can supply 3.3V to 5V to the VIN pin. Power consumption varies with CPU load and camera usage; typical operating current is a few hundred milliamps. The board supports software-controlled sleep modes to significantly reduce current draw for battery-powered deployments, making it suitable for field-based vision sensing applications.

Package Includes

  • 1 x OpenMV Cam H7 R2 Board

Additional Information

Weight 0.08 kg
Dimensions 8 × 10 × 3 cm