Open AccessAir Doodle: A Realtime Virtual Drawing Tool
Author(s) -
Soham Pardeshi,
Madhuvanti Apar,
Chaitanya Khot,
Atharv Deshmukh
Publication year - 2022
Publication title -
international journal for research in applied science and engineering technology
Language(s) - English
Resource type - Journals
ISSN - 2321-9653
DOI - 10.22214/ijraset.2022.40919
Subject(s) - computer science , morphing , python (programming language) , focus (optics) , computer graphics (images) , field (mathematics) , object (grammar) , presentation (obstetrics) , artificial intelligence , computer vision , human–computer interaction , programming language , medicine , physics , mathematics , pure mathematics , optics , radiology
The most fascinating and challenging research area in the field of image processing and pattern recognition in upcoming years is hype for drawing characters or visualizing characters in real-time. A few projects in the respective field have been constructed but the focus over time is to increase the accuracy and resolution with reduced tension on the timing of producing the resulting image by the system. Air doodle is another project in the respective field where the user can draw characters in real-time with the help of a pre-defined object by feeding it to the system about the object to track in order to let the user draw characters in real-time. The project proposes to reduce the usage of papers, reduce the discomfort of marking an important part in a presentation, and much more. We will be using computer vision in the open cv to build the project. The required language for this project is python, which has exhaustive libraries that would help us attain the desired result. Keywords: Machine learning, OpenCV, Morphing Techniques, Human-Computer Interactions, Air Drawing, Tkinter, Object detection, Colour detection