Playing Blackjack Using Computer Vision

Tauheed Khan Mohd; Anas Akkar; Justin Cassens; Samuel Cregan; Maame Araba Vander-Pallen

doi:10.20944/preprints202212.0543.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Version 1 : Received: 26 December 2022 / Approved: 28 December 2022 / Online: 28 December 2022 (12:42:17 CET)

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.

OpenCV; Python; objects; object detection; card

Computer Science and Mathematics, Signal Processing

Comment 1

Received: 13 June 2023
Commenter:

Tauheed Khan Mohd

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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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Playing Blackjack Using Computer Vision

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