Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Implementing Playing Cards BlackJack Game Using OpenCV

Version 1 : Received: 30 December 2022 / Approved: 3 January 2023 / Online: 3 January 2023 (09:40:17 CET)

How to cite: Akkar, A.; Cregan, S.; Araba Vander-Pallen, M.; Cassens, J.; Khan Mohd, T. Implementing Playing Cards BlackJack Game Using OpenCV. Preprints 2023, 2023010030. https://doi.org/10.20944/preprints202301.0030.v1 Akkar, A.; Cregan, S.; Araba Vander-Pallen, M.; Cassens, J.; Khan Mohd, T. Implementing Playing Cards BlackJack Game Using OpenCV. Preprints 2023, 2023010030. https://doi.org/10.20944/preprints202301.0030.v1

Abstract

Computer vision is a rapidly developing field that focuses on highly sophisticated picture analysis, manipulation, and comprehension. Its objective is to analyze what is happening in front of a camera and utilize that understanding to control a computer or robotic system or to present users with fresh visuals that are more enlightening or appealing than the original camera images. Computer vision technologies make it feasible for new user interfaces, augmented reality gaming, biometrics, automobile, photography, movie creation, Web search, and many more applications. This essay seeks to explain how computer vision can be utilized to play blackjack successfully.

Keywords

OpenCV; Python; objects; object detection; card

Subject

Computer Science and Mathematics, Computer Science

Comments (1)

Comment 1
Received: 12 June 2023
Commenter: (Click to see Publons profile: )
The commenter has declared there is no conflict of interests.
Comment: This article is accepted by Artificial Intelligence and Applications (AIA, ISSN: 2811-0854), 2023
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