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To Enhance the RPS Game using Open CV & CV Zone by using Python Platform

Harshdeep Singh Sabharwal1 , Tushar Kanti Majumdar2 , Shashank Saroop3 , Lokesh Meena4

  1. Dept. of Computer Science & Engineering, Dr. Akhilesh Das Gupta Institute of Technology and Management, New Delhi, India.
  2. Dept. of Computer Science & Engineering, Dr. Akhilesh Das Gupta Institute of Technology and Management, New Delhi, India.
  3. Dept. of Computer Science & Engineering, Dr. Akhilesh Das Gupta Institute of Technology and Management, New Delhi, India.
  4. Dept. of Computer Science & Engineering, Dr. Akhilesh Das Gupta Institute of Technology and Management, New Delhi, India.

Section:Research Paper, Product Type: Journal Paper
Volume-11 , Issue-12 , Page no. 46-52, Dec-2023

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v11i12.4652

Online published on Dec 31, 2023

Copyright © Harshdeep Singh Sabharwal, Tushar Kanti Majumdar, Shashank Saroop, Lokesh Meena . 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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IEEE Style Citation: Harshdeep Singh Sabharwal, Tushar Kanti Majumdar, Shashank Saroop, Lokesh Meena, “To Enhance the RPS Game using Open CV & CV Zone by using Python Platform,” International Journal of Computer Sciences and Engineering, Vol.11, Issue.12, pp.46-52, 2023.

MLA Style Citation: Harshdeep Singh Sabharwal, Tushar Kanti Majumdar, Shashank Saroop, Lokesh Meena "To Enhance the RPS Game using Open CV & CV Zone by using Python Platform." International Journal of Computer Sciences and Engineering 11.12 (2023): 46-52.

APA Style Citation: Harshdeep Singh Sabharwal, Tushar Kanti Majumdar, Shashank Saroop, Lokesh Meena, (2023). To Enhance the RPS Game using Open CV & CV Zone by using Python Platform. International Journal of Computer Sciences and Engineering, 11(12), 46-52.

BibTex Style Citation:
@article{Sabharwal_2023,
author = {Harshdeep Singh Sabharwal, Tushar Kanti Majumdar, Shashank Saroop, Lokesh Meena},
title = {To Enhance the RPS Game using Open CV & CV Zone by using Python Platform},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {12 2023},
volume = {11},
Issue = {12},
month = {12},
year = {2023},
issn = {2347-2693},
pages = {46-52},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=5647},
doi = {https://doi.org/10.26438/ijcse/v11i12.4652}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v11i12.4652}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=5647
TI - To Enhance the RPS Game using Open CV & CV Zone by using Python Platform
T2 - International Journal of Computer Sciences and Engineering
AU - Harshdeep Singh Sabharwal, Tushar Kanti Majumdar, Shashank Saroop, Lokesh Meena
PY - 2023
DA - 2023/12/31
PB - IJCSE, Indore, INDIA
SP - 46-52
IS - 12
VL - 11
SN - 2347-2693
ER -

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Abstract

The paper involves the development of a rock- paper-scissors game using computer vision techniques, specifically gesture recognition. The game aims to provide an engaging and interactive user experience by allowing players to use hand gestures to play the game against a computer opponent. The user interface was designed for optimal user experience, incorporating visual feedback to effectively engage the player. The accuracy of gesture recognition was evaluated using quantitative metrics, measuring the precision of identifying rock, paper, and scissor gestures. The paper serves as an educational tool to demonstrate the practical applications of computer vision in gaming scenarios, potentially inspiring interest in STEM fields. It sets the foundation for future advancements in computer vision applications, with potential enhancements including multi- player functionality, improved gesture recognition using deep learning models, and integration into augmented or virtual reality environments. While the rock-paper-scissors game using OpenCV and CV Zone has several merits, there are also a few demerits to consider, indicating areas for further improvement. Overall, the paper contributes to the practical understanding of gesture recognition and image processing within the context of an interactive gaming application.

Key-Words / Index Term

Rock-Paper-Scissors (RPS) Game, Computer Vision, OpenCV, CVZone, Python Programming, Gesture Recognition, Image Processing, Object Detection

References

[1]Khobragade, Kavita. “A Comparative study of Converting Coloured Image to Gray-scale Image using Different Technologies”, In the Proceedings of the 2012 National Conference on Recent Trends in Information Technology At: JSPM Pune Maharashtra India, pp.1-3, 2012.
[2]CV Zone Library Documentation. 2023.
[3]What is Python? Executive Summary | Python.org. 2022.
[4]Bradski, G., & Kaehler, “Learning OpenCV”, O`Reilly Media, Inc. Publisher, USA, pp.1-30, 2008.
[5]Python 3.12.1 documentation, 2023.
[6]Li Liu, Wanli Ouyang, Xiaogang Wang, Paul Fieguth, Jie Chen, Xinwang Liu, Matti Pietikäinen, “Deep Learning for Generic Object Detection: A Survey”, International Journal of Computer Vision, Vol.4, Issue.9, pp.1-19, 2019. https://doi.org/10.1007/s11263-019-01247-4
[7]Hasrshdeep Singh Sabharwal, Tushar Kanti Maujumdar, Shashank Saroop, Lokesh Meena, "To Enhance the RPS Game using Open CV & CV Zone by using Python Platform", International Journal of Computer Sciences and Engineering, Vol.11, Issue.12, pp.1-8, 2023. https://doi.org/10.26438/ijcse/v11i12.14