SMART VIRTUAL PAINTER

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Prof. Purshottam J Assudani
Dr. Rakesh K Kadu
Prof. Ashish V Chandak
Mr. Varunesh Agrawal
Mr. Sanskar Khandelwal
Mr. Hardik Singhavi

Abstract

The main goal of computer vision is to recognize different objects of various size, shape and position. The major
challenges faced by computer vision are the illumination and the viewpoint of the object, concerning this multiple
studies on detecting and recognizing objects that showed a high level of accuracy and precision on these tasks. to
used for object detection online the proposed work allows the user to track the movement of any cultured object
of his/her choice. The user has the ablity even choose the colors of his choice to be displayed by running the
concerned application, the camera is activated thus enabling the user to draw in the air just by waving the tracker
object. The drawing part that is concerned is also simultaneously visible on the white window. The instructor
can choose any color of his choice as his need displayed above to draw and also can clear the screen when needed.
OpenCV and python are used to build this application using computer vision techniques

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Author Biographies

Prof. Purshottam J Assudani

Prof. Purshottam J Assudani is working as an Assistant Professor in Department
of Information Technology, Shri Ramdeobaba College of Engineering and Management,
Nagpur, India. He completed his M.Tech. in Computer Science and Engineering and is
pursuing Ph.D.in Computer Science and Engineering from School of Computer Science
and Engineering, Vellore Institute of Technology, Vellore, India. He has published one
Indian patent and published several papers in International Journals and conferences. His
Research interests include Cloud Computing and Distributed Systems. He is a Certified
Cloud Architect and Certified Trainer on Microsoft Azure and Amazon Web Services
cloud platforms. He has delivered multiple corporate trainings on multi cloud platforms.
He has also received a Best Paper Award in an International Conference.

Dr. Rakesh K Kadu

Dr. Rakesh K Kadu is the Assistant Professor at Department of Information Technology, Shri Ramdeobaba College of Engineeering and Management, Nagpur, India. He
has 1 patents is publised in Indian Patents and Trademarks Office and over 14 published
research papers in National/International journals/conferences. Dr. Rakesh pursued his
engineering education at Govt College of Engineering, Amravati , India in Computer
Science and Engineering. He completed his PhD from Yashwantrao Chavan College of
Engineering, India. His research interests are in Cryptography and Security, Cloud computing, Computer networks, network management and IoT. He is life member of the ISTE
and CSI.

Prof. Ashish V Chandak

Prof. Ashish V Chandak is working at Shri Ramdeobaba College of Engineeringand
Management, Nagpur. He completed M.Tech. from National Institute of Technology, Rourkela and pursuing Ph.D. from Kalinga Institute of Industrial Technology,Bhubaneswar. He has published two Indian patent and published several papers
in International Journal and conference. His research interest are IoT and cloud computing.He is a reviewer and member of research panel of various peer-reviewed indexed
journalsfrom Elsevier, Springer Nature,Taylor and Francis.

Mr. Varunesh Agrawal

Mr. Varunesh Agrawal is student at Shri Ramdeobaba College Of Engineering and
Management, Nagpur and pursuing his B.E. Degree in stream of Information Technology.

Mr. Sanskar Khandelwal, a:1:{s:5:"en_US";s:53:"Shri Ramdeobaba College of Engineering and Management";}

Mr. Sanskar Khandelwal is student at Shri Ramdeobaba College Of Engineering and
Management, Nagpur and pursuing his B.E. Degree in stream of Information Technology.

Mr. Hardik Singhavi

Mr. Hardik Singhavi is student at Shri Ramdeobaba College Of Engineering and
Management, Nagpur and pursuing his B.E. Degree in stream of Information Technology.

How to Cite
Assudani, P., Kadu, R., Chandak, A., Agrawal, V., Khandelwal, S., & Singahvi, H. (2021). SMART VIRTUAL PAINTER. International Journal of Next-Generation Computing, 12(5). https://doi.org/10.47164/ijngc.v12i5.462

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