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This object recognition algorithm is based on own pattern-matching algorithm. The algorithm is able to recognize pre-trained objects which are defined with special set of templates.
The currency recognition demo application works under Windows XP, Intel P4 3GHz. Quality of recognition: 85%. The solution is cross-platform. The application was tested on Linux, ARM11 and on Linux/Windows, Intel Atom.
Interesting details can be found at: http://www.computer-vision-software.com/blog/2009/10/barcode
Hi All, before posting your question, please look at this FAQ carefully! Also you can read OpenCV haartraining article. If you are sure, there is no answer to your question, feel free to post comment. Also please, put comments about improvement of this post. This post will be updated, if needed.
Nowadays, different audience measurement systems become more and more popular. They are used in active advertising, for gathering statistics, etc. One of the key features of these smart systems is attention detection. For advertisers, for instance, it seems very important to know, how much attention commercial attracts. In this article, I will describe attention detector module, used in our Audience Measurement system.
This is a demo video of the invariant orientation and scale fast object detection algorithm. The algorithm is a robust in cases when the object is deformed a little 
I would like to represent an executable demo which was described at http://www.computer-vision-software.com/blog/2009/07/barcode-recognition/.
This is demo application for Rhonda barcode recognition library. It’s cross-platform library written on C++ language. It was tested on ARM Cortex-A8, ARM11 and x86 platforms.
Average recognition time on 640×480 frames:
P4 – 3GHz: 25ms
This is a demo video of Rhonda Audience Measurement system (MyAudience product, www.MyAudience.com).
This paper describes how-to get MJPEG stream from AXIS ip-camera in your C++ application. My approach is a cross-platform solution and much better than solution from http://www.computer-vision-software.com/blog/2009/04/how-to-get-mjpeg-stream-from-axis-ip-cameras-axis-211m-and-axis-214-ptz-as-camera-device-in-opencv-using-directshow/.
Description
Here you can find a demo of the barcode detection and recognition routine. The current version is set up to detect a barcode labels mostly oriented horizontally and vertically. The routine processes each frame of the video stream and scans it trying to detect a barcode starting position, relying on the appearance specific of the barcode labels. As long as a potential starting position detected the routine applies the set of the image filters to increase the readability of the scanned window. Then recognition algorithm tries both to read and validate the barcode label starting from the detected point. You may see for yourself that such combination of detection and recognition algorithms works pretty well.
This demo works with UPC-A and EAN-13 barcode types.
