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In this video I use a Logitech C920 and the Beaglebone Black. Finally, I write a small program boneCVtiming.cpp to test the performance of the Beaglebone black for capturing and processing image data.

This code uses the OpenCV library which is available on the Angstrom distribution of the Beaglebone.

How do you use OpenCV to capture and image process frames so that you can build computer vision applications under Linux on the Beaglebone – I do this using the boneCV.cpp program as described below.

How do you capture image frames from a USB webcam under Linux – I do this using the grabber.c source code that again uses Video4Linux to capture raw video frames in the uncompressed PPM format.

This raw stream is then wrapped with a H264 header using FFMPEG.

How do you capture video from a USB webcam under Linux – I do this using the capture.c source code that uses Video4Linux to capture a raw stream from the USB camera.

I look at three different distinct challenges: It is an introductory video that should give people who are new to this topic a starting point to work from. In the video below I look at how you can get started with video capture and image processing on the Beaglebone.