About Our Project
Computer games are a popular consumer electronics item. The game players find it captivating to interact with games via joysticks, buttons, trackballs, or wired gloves. They may find it even more engaging to interact through natural, unencumbered hand or body motions. A computer vision-based user interface could provide these capabilities. Computer games represent a possible mass-market application for computer vision. So in this project we exploit this mass-market application and try to build and interactive game which can be controlled using a particular object and also build an AI which can play the game on its own.
Our Approach
01.Object Detection
Using OpenCV to control actions in the game using a particular object for which the model is trained
02.Pygame
Using PyGame, which is a good library to make simple 2-D games like space shooter etc.
03.Game AI
Using Behaviour Tree which is a mathematical model of plan execution which describes switching between a finite set of tasks in a modular fashion & Reinforcement Learningn using which Q and DQ-Network models were applied to game
04.Game With Depth Sensing
Using Intel RealSense camera which tracks the 3-D movements and helps play game using our gestures
Project Resources
Our Dedicated Team
People who worked hard together to make this project a success
Moksh Shukla
Prashant Kumar
Priyanshu Agrawal
Pushpesh Kumar
Ritik Saxena
Sahaj Agrawal
Sameer Mahadule
Sparsh Agrawal
