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I would highly recommend both of these devices because of the processing power of the Beaglebone black and the high resolution capability of the C920.
However, you should be able to adapt the code to any specific camera. Beaglebone: Video Capture and Image Processing on Embedded Linux using Open CV [Video file]. v=8Qouv YMfm Qo Here are the two images that were captured during the course of the video: The image on the left is the original image captured on the Beaglebone black using Open CV, which has been encoded in PNG format.
*/ #include /* bone * * Copyright Derek Molloy, School of Electronic Engineering, Dublin City University * * Redistribution and use in source and binary forms, with or without modification, are permitted * provided that source code redistributions retain this notice.
* * This software is provided AS IS and it comes with no warranties of any type. /bin/bash echo "Video for Beaglebone Video Applications - derekmolloy.ie" echo "Building the Open CV example for the Beaglebone" g -O2 `pkg-config --cflags --libs opencv` bone -o bone CV echo "Building the Open CV timing example for the Beaglebone" g -O2 `pkg-config --cflags --libs opencv` -lrt bone -o bone CVtiming echo "Building the Video4Linux frame capture program" gcc -O2 -Wall `pkg-config --cflags --libs libv4l2` grabber.c -o grabber echo "Building the Video4Linux capture example program" gcc -O2 -Wall `pkg-config --cflags --libs libv4l2` capture.c -o capture echo "Finished"-O2 means optimize for code size and execution time -O3 would optimize even more for execution time (O for optimize)-Wall enables all possible compiler warning messages – should always be used to give the best possible code.