Applications

Frame Differencing

You can use Frame Differencing on your OpenMV Cam to detect motion in a scene by looking at what's changed. Frame Differencing allows you to use your OpenMV Cam for security applications. Check out the video of the feature here.

Color Tracking

You can use your OpenMV Cam to detect up to 16 colors at a time in an image (realistically you'd never want to find more than 4) and each color can have any number of distinct blobs. Your OpenMV Cam will then tell you the position, size, centroid, and orientation of each blob. Using color tracking your OpenMV Cam can be programmed to do things like tracking the sun, line following, target tracking, and much, much, more. Video demo here.

Marker Tracking

You can use your OpenMV Cam to detect groups of colors instead of independent colors. This allows you to create color makers (2 or more color tags) which can be put on objects allowing your OpenMV Cam to understand what the tagged objects are. Video demo here.

Face Detection

You can detect Faces with your OpenMV Cam (or any generic object). Your OpenMV Cam can process Haar Cascades to do generic object detection and comes with a built-in Frontal Face Cascade and Eye Haar Cascade to detect faces and eyes. Video demo here.

Eye Tracking

You can use Eye Tracking with your OpenMV Cam to detect someone's gaze. You can then, for example, use that to control a robot. Eye Tracking detects where the pupil is looking versus detecting if there's an eye in the image.

Person Detection

You can detect if there's a person in the field of view using our built-in person detector TensorFlow Lite model. Video demo here.

Optical Flow

You can use Optical Flow to detect translation of what your OpenMV Cam is looking at. For example, you can use Optical Flow on a quad-copter to determine how stable it is in the air. See the video of the feature here.

QR Code Detection/Decoding

You can use the OpenMV Cam to read QR Codes in it's field of view. With QR Code Detection/Decoding you can make smart robots which can read labels in the environment. You can see our video on this feature here.

Data Matrix Detection/Decoding

The OpenMV Cam H7 Plus can also detect and decode data matrix 2D barcodes too. You can see our video on this feature here.

Linear Barcode Decoding

The OpenMV Cam H7 Plus can also decode 1D linear bar codes. In particular, it can decode EAN2, EAN5, EAN8, UPCE, ISBN10, UPCA, EAN13, ISBN13, I25, DATABAR, DARABAR_EXP, CODABAR, CODE39, CODE93, and CODE128 barcodes. You can see our video on this feature here.

AprilTag Tracking

Even better than QR Codes above, the OpenMV Cam H7 Plus can also track AprilTags. AprilTags are rotation, scale, shear, and lighting invariant state-of-the-art fiducial markers. We have a video on this feature here.

Line Detection

Infinite line detection can be done speedily on your OpenMV Cam at near max FPS. And, you can also find non-infinite length line segments too. You can see our video of this feature here. Additionally, we support running linear regressions on the image for use in line following applications like this DIY Robocar.

Circle Detection

You can use the OpenMV Cam H7 Plus to easily detect circles in the image. See for yourself in this video.

Rectangle Detection

The OpenMV Cam H7 Plus can also detect rectangles using our AprilTag library's quad detector code. Checkout the video here.

Template Matching

You can use template matching with your OpenMV Cam to detect when a translated pre-saved image is in view. For example, template matching can be used to find fiducials on a PCB or read known digits on a display.

Image Capture

You can use the OpenMV Cam to capture Grayscale/RGB565 BMP/JPG/PPM/PGM images. You directly control how images are captured in your Python script. Best of all, you can preform machine vision functions and/or draw on frames before saving them.

Video Recording

You can use the OpenMV Cam to record up to Grayscale/RGB565 MJPEG video or GIF images (or RAW video). You directly control how each frame of video is recorded in your Python script and have total control on how video recording starts and finishes. And, like capturing images, you can preform machine vision functions and/or draw on video frames before saving them.

TensorFlow Lite for Microcontrollers Support

TensorFlow Lite support lets you run custom image classification and segmentation models on board your OpenMV Cam. With TensorFlow Lite support you can easily classify complex regions of interest in view and control I/O pins based on what you see. See the TensorFlow module for more information.

Pinout Diagram

Note

Click here to view a larger version of the above pinout diagram.

Dimensions

Parts List

• 1 x OpenMV Cam H7 Plus
• 2 x 8-Pin Female Headers
• 1 x Micro-USB Cable
• 1 x Hole Plate
• 1 x Proto PCB Board
• 1 x Right Angle Fixing Plate
• 4 x Supporting Screws
• 4 x Nuts
• 4 x Gaskets