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.
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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%.
Read the Original
This page is a summary of: Real-time optical dart detection and scoring algorithm for steel tip dartboards, ICGA Journal, February 2023, IOS Press,
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