Air Canvas for Educational Systems with Hand Tracking in Real Time using Mediapipe: A Computer Vision

Today, Computer Vision is widely used in various tech sectors. It is very useful in developing modern applications, such as those used by Air Canvas. After reviewing numerous research publications on this subject, this study aims to provide a comprehensive overview of all the aspects of object detection. It provides suggestions for how they can be improved, and techniques for Topic object detection and also includes various algorithms for it. Evaluations of algorithms such as SSD and YOLO has also been covered for a better grasp of how object detection works. The parts that are necessary for building the Air Canvas project are also present. It also consists of the implementation of the final project. Although a huge task, it can be very much made possible by consistent investment by communities passionate about developing one of the most exploited sectors of our economy and by government funding that is able to recognize the potential that gets lost in the tide of economic poverty and discrimination against backgrounds. The project is a learning tool that can be utilized in a classroom for teaching as well as being an insight into what modern computer vision technology is capable of.