AI Based Car Arcade Game With Minimum Processing And Optimal Speed Using Computer Vision Techniques For Non-GPU Devices


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.



Software And Hardware

• 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