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Real-time Optical Dart Detection and Scoring Algorithm for Steel Tip Dartboards

What is it about?

This article is the result of theoretical and experimental research on dart hit detection and scoring algorithm. It introduces algorithmic optimizations, which run on real-time. The paper should be of interest to readers in the areas of automated steel dart scoring, image processing and multi-threaded programming.

Why is it important?

This paper is a proof that high accuracies in dart detection and scoring algorithms can also be achieved with low-cost configurable cameras that are positioned parallel to the baseline of the dartboard. In addition, parallel programming techniques has been applied, in order to have a real-time processing. Experimental results reveal that on average a dart is detected in 568ms with an accuracy of 99.63%.

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Ervin Domazet
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