This project enlightens a new approach of using computer vision to increase the assiduity of game loop over
common processors. It uses pygame module to develop a vehicle survival game with multiple modes. Then it
incorporates AI based BMCVG (Body Movement Controlled Video Gaming) in it by making it human hand
controlled. Higher brisk is achieved by using symmetry in the human body and splitting the vision of camera
using computer vision. It also uses cascade classifiers cleverly for hand detection.
Keywords: Pygame, Game Development, Computer Vision, Cascade classifiers, Artificial Intelligence, less
processing, hand detection.
• Hardware: Processor: i3 ,i5 RAM: 4GB Hard disk: 16 GB • Software: operating System : Windws2000/XP/7/8/10 Anaconda,jupyter,spyder,flask Frontend :-python Backend:- MYSQL
NON IEEE -2021