Interior Wall Painting and Designing Robot
Debargha Roy1, D. Deva Hema2, Rohit Roy3, Arpit Agrawal4, Mayukh Biswas5

1Debargha Roy, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
2D. Deva Hema, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
3Rohit Roy, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
4Arpit Agrawal, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.
5Mayukh Biswas, Department of Computer Science and Engineering, SRM Institute of Science and Technology, Chennai (Tamil Nadu), India.

Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 3307-3310 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6566068819/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: This paper presents a methodology for developing a paint robot, which is capable of performing paint job on an interior wall. The method combines features such as detection of the surface roughness, paint viscosity, paint thickness prediction, and complex design patterns printing on the wall.
Keyword: Paint robot, Wall design paint, Paint thickness measurement, Surface roughness detection, Cartesian system
Scope of the Article: Measurement & Performance Analysis.