Article
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Preserved in Portico This version is not peer-reviewed
Playing Blackjack Using Computer Vision
Version 1
: Received: 26 December 2022 / Approved: 28 December 2022 / Online: 28 December 2022 (12:42:17 CET)
How to cite: Khan Mohd, T.; Akkar, A.; Cassens, J.; Cregan, S.; Araba Vander-Pallen, M. Playing Blackjack Using Computer Vision. Preprints 2022, 2022120543. https://doi.org/10.20944/preprints202212.0543.v1 Khan Mohd, T.; Akkar, A.; Cassens, J.; Cregan, S.; Araba Vander-Pallen, M. Playing Blackjack Using Computer Vision. Preprints 2022, 2022120543. https://doi.org/10.20944/preprints202212.0543.v1
Abstract
Computer vision is a fast-expanding discipline focusing on analyzing, altering, and comprehending images at a high level. Its goal is to figure out what's going on in front of a camera and use that knowledge to manage a computer or robotic system or to show people new visuals that are more instructive or attractive than the original camera photos. Video surveillance, biometrics, automotive, photography, movie production, Web search, medicine, augmented reality gaming, new user interfaces, and many other applications are all possible with computer vision technologies. This paper aims to describe how computer vision will be used to play a winning game of blackjack.
Keywords
OpenCV; Python; objects; object detection; card
Subject
Computer Science and Mathematics, Signal Processing
Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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