Attributes

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

6 reviews

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.

5 FAQ

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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