Description
Reviews
| Brand | - |
| Category | Robotics / STEM Teaching Tools / Development, Learning, Evaluation & Industrial Control Boards |
| Origin | - |
| Processor | STM32H743II Cortex-M7 @ 480 MHz |
| Camera Sensor | OV5640 5MP (up to 1080p) |
| Memory | 32MB SDRAM, 1MB Flash |
| Connectivity | USB-C, MicroSD Card Slot |
| I/O Interfaces | UART, I2C, SPI, CAN, GPIO |
| Power Supply | 5V via USB or VIN pin (3.3V-5V) |
| Supported Algorithms | Face Detection, Color Tracking, AprilTags, Neural Networks |
| Programming Language | MicroPython |
| Dimensions | 56mm x 32mm x 18mm |
| Operating Temperature | -20°C to 70°C |
Anonymous
Mar 29, 2026
Rating: 5/5
Compact and Powerful
Amazing how much compute power is packed into this small form factor. The AprilTag detection works flawlessly even in varying light conditions. Definitely worth the investment.
Anonymous
Mar 28, 2026
Rating: 5/5
Best value for deep learning on edge
I used this for a color sorting robot project. The ability to run pre-trained models directly on the board without a Raspberry Pi is a game changer. Battery life is also decent when optimized.
Anonymous
Mar 27, 2026
Rating: 5/5
Excellent for university projects
Bought this for my final year engineering project. It handled face recognition and object tracking simultaneously without lagging. The community support is also very helpful.
Anonymous
Mar 23, 2026
Rating: 4/5
Great hardware, steep learning curve
The hardware quality is excellent and the processing speed is impressive. However, if you are new to Python or embedded vision, expect to spend some time reading the documentation. Once you get it working, it's fantastic.
Anonymous
Mar 22, 2026
Rating: 5/5
Perfect for Computer Vision Projects
This board is incredibly powerful for its size. The OV5640 sensor provides clear images, and the MicroPython IDE makes scripting neural networks straightforward. Highly recommended for students and hobbyists.
Anonymous
Mar 11, 2026
Rating: 4/5
Solid upgrade from the old H7
The PLUS version offers noticeable improvements in speed and memory. We use these in our workshop for teaching embedded AI. Only minor issue is the camera cable can be a bit fragile if bent too often.
Q: Does this board support TensorFlow Lite models?
A: Yes, the OpenMV4 H7 PLUS supports running quantized TensorFlow Lite models for neural network inference directly on the device.
Q: Is the IDE compatible with macOS and Linux?
A: Yes, the OpenMV IDE is cross-platform and works seamlessly on Windows, macOS, and Linux distributions.
Q: Does it come with a camera module included?
A: Yes, this package includes the OpenMV4 H7 PLUS board pre-fitted with the OV5640 camera module and the necessary ribbon cable.
Q: Can I power this board with a 9V battery?
A: You can connect a 9V battery to the VIN pin, as the board has an onboard regulator that accepts input between 3.3V and 5V efficiently, though direct 9V might exceed the recommended VIN range depending on the specific regulator configuration. It is safest to use a 5V source or a regulated 3.3V-5V supply.
Q: What is the maximum resolution for video recording?
A: With the OV5640 sensor, the board can capture images up to 2592x1944 pixels, but for real-time processing and video streaming, 1080p (1920x1080) is the practical maximum.
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