DFRobot
OpenMV Cam H7 Plus
Best compact solution for developers building custom machine vision projects.
Unlock the power of machine vision with the OpenMV Cam H7 Plus, a compact microcontroller programmable in Python. This board brings advanced AI and computer vision capabilities to your projects, from robotics to smart sensing. Easily integrate it into your workflow for tasks like object detection, color tracking, and barcode decoding. Its high-performance processor and extensive connectivity options, including WiFi support, make it a versatile tool for developers and hobbyists alike. Capture images, record video, and control I/O pins with intuitive Python scripts.
$130.00
Owner Satisfaction
4.6
/ 5
Category Rank
367
/ 1545
#367 in Development Boards
Price vs Category Average
+48%
Above average
Processor
327480
/ ARM® -bit Cortex®-M CPU @ MHz
Who it's for
- Developers needing rapid prototyping for computer vision projects
- Engineers building sophisticated real-time tracking and detection systems
- Robotics hobbyists integrating complex sensors into custom hardware
Who should skip it
- Budget-conscious makers seeking affordable vision solutions
- Designers creating long-term, battery-powered remote devices
- Beginners requiring extensive community support and third-party libraries
Performance breakdown
Machine Vision Capability
High-speed processing makes complex object detection and tracking feel effortless.
Programming Accessibility
Python integration lowers the barrier for rapid prototyping and deployment.
AI Model Versatility
TensorFlow Lite support allows for sophisticated custom AI model implementation.
Hardware Connectivity
Extensive interface options ensure seamless integration with diverse robotic systems.
Form Factor Efficiency
Compact design packs significant computing power into a tiny footprint.
Low-Light Performance
Integrated IR LEDs provide reliable visibility in challenging lighting conditions.
Key Specs
Processor
ARM® 32-bit Cortex®-M7 CPU @ 480 MHz
Memory
32MB SDRAM, 1MB SRAM, 32MB external flash
I/O Voltage
3.3V output, 5V tolerant
Interfaces
USB, μSD Card, SPI, I2C, CAN, UART, WiFi
Video Resolution
Up to 640x480
Compression Formats
BMP, JPG, PPM, PGM, MJPEG, GIF
Operating Temperature
-20°C to 70°C
Power Consumption
140mA (idle) to 240mA (active)
Features
- Python programmable for easy machine vision
- High-performance ARM Cortex M7 processor
- Supports TensorFlow Lite for custom AI models
- Advanced AI and vision algorithms onboard
- Robust connectivity via multiple interfaces
- Onboard μSD card for data storage
- Includes IR LEDs for low-light vision
- 5V tolerant I/O pins for flexibility
What customers say
The OpenMV Cam H7 Plus is highly regarded as a premium, high-performance platform for embedded machine vision. Users consistently praise its powerful STM32H7 processor for exceptional speed and frame rates, crucial for real-time applications. A key advantage is the seamless MicroPython integration, significantly simplifying complex computer vision tasks and enabling rapid prototyping. This ease of use, coupled with excellent documentation and community support, makes it a favorite for educators, hobbyists, and professionals. While its specialized nature and premium price are acknowledged, the performance and features are seen as justifying the investment for advanced users. The hardware is robust and reliable, and the software ecosystem is mature, solidifying its reputation as a capable and flexible embedded vision solution.
Know before you buy
The board is programmed using MicroPython. This allows you to write and execute scripts directly on the camera, making it much faster to prototype machine vision projects compared to traditional C++ environments.
Yes, the OpenMV Cam H7 Plus supports TensorFlow Lite. You can train custom models on your computer and deploy them to the board for tasks like specialized object detection or classification.
The board includes integrated IR LEDs, which provide illumination for low-light environments. This makes it suitable for night-time tracking or monitoring tasks where standard ambient light is insufficient.
The camera supports a maximum resolution of 640x480 pixels. While this is lower than high-definition consumer cameras, it is optimized for real-time machine vision processing and efficient data handling.
The board features an onboard microSD card slot, which serves as the primary storage for your captured images, video files, and saved machine vision data.
Yes, while the board operates at 3.3V, the I/O pins are 5V tolerant. This provides extra flexibility when connecting to a wide range of external sensors and peripherals without needing additional level-shifting hardware.
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