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Virtual Ink Using Python

EasyChair Preprint 5707

8 pagesDate: June 4, 2021

Abstract

There has been a revolutionary development in the field of computer vision with the advancement of technology in the past few years. Computer vision is an interdisciplinary scientific field that deals with how computers can gain high-level understanding from digital images or videos. From the perspective of engineering, it seeks to understand and automate tasks that the human visual system can do. Computer vision tasks include methods for acquiring, processing, analysing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information. We use python as our primary language and it packages OpenCV and NumPy. Basically, OpenCV is a library of programming functions mainly aimed at real-time computer vision. Originally developed by Intel, it was later supported by Willow Garage. And NumPy is basically, a is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays. Our Project is basically a computer vision application which uses the webcam of your device. By opening the webcam of your device all you need is to just hold the pencil or some pen in our hand, then drag the pen or pencil in air but it should be in front of your device camera (approx.15-30 cm). Then, the computer screen will the display what you have dragged in front of your device.

Keyphrases: Artificial Intelligence, Computer Vision Application, OpenCV, Python Library, Python programming, Real-time Computer Vision, computer vision, dimensional data, virtual ink

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@booklet{EasyChair:5707,
  author    = {Priyanshu Mishra and Akash Uniyal},
  title     = {Virtual Ink Using Python},
  howpublished = {EasyChair Preprint 5707},
  year      = {EasyChair, 2021}}
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