Augmented Reptile Feeder

Puja Chavan cholke, Pritam Shinde, Pratiksha Shinde, S. Shinde, Shobit Shinde, Suyash Shinde
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Abstract

This paper describes a method of gaming based on AR[Augmented Reality] and Computer Vision in the field of AI[Artificial Intelligence]. AI and AR include a wider range of applications in upcoming technologies. These technologies are becoming an integrated part of our way of life. These technologies are gaining more popularity in the gaming sector. AR games achieve popularity with the masses, causing growing addiction. We have developed a game called Augmented Reptile Feeder (ARF). We describe an algorithm based on the hand tracking module. The Augmented Reptile Feeder system is intended for 2D gaming innovations with real world interaction. This will be achieved by tracking the movements of the index finger using hand detection in the CV zone. Operating this game is pretty simple and straightforward for users. ARF ultimately provides an enhanced platform unlike the rest available in the gaming market.
增强型爬行动物喂食器
本文介绍了一种基于AR(增强现实)和计算机视觉的人工智能领域的游戏方法。人工智能和增强现实在未来的技术中包括更广泛的应用。这些技术正在成为我们生活方式中不可或缺的一部分。这些技术在游戏领域越来越受欢迎。增强现实游戏受到大众的欢迎,导致越来越多的人上瘾。我们开发了一款名为《Augmented Reptile Feeder》(ARF)的游戏。我们描述了一种基于手部跟踪模块的算法。增强爬行动物喂食系统旨在与现实世界互动的2D游戏创新。这将通过在CV区域使用手部检测来跟踪食指的运动来实现。操作这个游戏对用户来说非常简单和直接。ARF最终提供了一个与游戏市场上其他平台不同的增强平台。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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