Automated Opencv-Based Presentation Controller

Abstract

Présentations have proved to be an effective way of communication in today’s world. Effective présentations are essential as they express one’s idea or analysis in professional meetings. A keyboard or a remote-controlled physical device is generally used to operate the presentations. The display can be performed using hand gestures by utilizing the features provided by Computer Vision (CV). The slides in the presentation can be navigated using specific hand gestures for each operation, like navigating forward or backward in slides. This model also allows the user to virtually draw on the screen in real-time by using their hands. So this model helps eliminate the use of a physical device and is cost-effective. This automation results in a software product that works as an efficient controller. Using this, the user can operate the slides efficiently without any physical contact. This automated model is cost-effective, easy to use, and doesn't require any physical device. This can also see tremendous market potential as presentations have become necessary in every field today. Many features and gestures can be added to further development of this model.