Free application | OpenMV4 Cam H7, a machine vision microcontroller board based on the STM32H7 processor

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Free application | OpenMV4 Cam H7, a machine vision microcontroller board based on the STM32H7 processor [Copy link]

 

Seeed's OpenMV4 Cam H7 small, low-power microcontroller board includes an Arduino, a Raspberry Pi-compatible machine vision sensor, and an OV7725 camera. It is powerful and flexible and suitable for a variety of complex machine vision applications.

How to apply for free
From now until June 30, >> click here to apply for free , sign up for the 2024 DigiKey "Sense Everything, Enjoy Life" Creative Competition , submit your proposal or idea, and you will have a chance to own it! DIY can also win cash prizes such as 10,000 yuan, 5,000 yuan, and 2,000 yuan . (There are 100 finalists for the competition)

Tips: When filling out the form, select 102991322 (OpenMV4 Cam H7 product number) and select 1 other creative matching material.

Click here to apply for free

OpenMV4 Cam H7 Features
■ STM32H743VI Arm Cortex-M7 processor running at 480 MHz, with 1 MB RAM and 2 MB Flash, all I/O pins output 3.3 V and are 5 V tolerant.
Full-speed USB (12 Mbs) interface for connecting to the user’s computer
microSD card slot with 100 Mbs read/write speeds
SP bus operating at up to 100 Mbs allows users to easily transfer system picture data to the LCD expansion board, Wi-Fi expansion board or other microcontrollers
IC bus, CAN bus, and asynchronous serial bus (Tx/Rx) for connecting to other microcontrollers and sensors
1 12-bit ADC and 1 12-bit DAC
3 I/O pins for servo control
Interrupts and PWM on all I/O pins (there are ten I/O pins on the board)
1 RGB LED and two high-power 850 nm infrared LEDs
■ The detachable camera module system allows the OpenMV Cam H7 to connect to different sensors:
The OpenMV Cam H7 is equipped with an OV7725 image sensor, which is capable of capturing 640x480 8-bit grayscale images at 60 FPS or 640x480 when the resolution is higher than 320x240 16-bit RGB565 images; capture speeds up to 120 FPS for resolutions below 320x240. Most simple algorithms will run above 60 FPS. Image sensor has a 2.8 mm lens with a standard M12 lens mount.
■ LiPo battery connector compatible with 3.7 V LiPo batteries

Applications
Frame difference processing, color tracking, marker tracking, face detection, eye tracking, people detection, 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, TensorFlow Lite for microcontroller support,

Pin Diagram

Technical data
OpenMV Cam H7 Datesheet
seeed official website OpenMV Cam H7 technical data
Digi-Key introduction to OpenMV Cam H7

Juggernaut

Not bad

suncat

It's a good activity! Thumbs up! I hope more electronics enthusiasts will participate! Come on!

Juggernaut

This item is not included in the selected material model

lightxixi

Juggernaut posted on 2024-6-18 08:21 This is not in the selected material model

Select in the form: 102991322, that's it~

hjh0512

I don't do this, I'm just an amateur, an amateur, and it's a hobby. Can you apply for one for me?

lightxixi

hjh0512 posted on 2024-6-18 11:09 I am not doing this, I am just an amateur, a hobby, can you apply for one for me?

You can apply for a try~

aramy

Temptation! Resist the desire!

Juggernaut

lightxixi posted on 2024-6-18 08:44 Select in the form: 102991322, that's it~

Like has been applied

ljf1307

Thanks to the official for supporting the event.