Automatic Wall Painting and Crack Detection Robot Based on Raspberry Pi

This paper presents a new prototype that aims to design, develop and implement Automatic Wall Painting Robot which helps to achieve less human interaction and low cost painting equipment. Despite the advances in robotics and its wide spreading applications, interior wall painting has shared little in research activities. Despite the fact that the utilization of spreading robotized frameworks for inside painting was at that point indicated to be attainable and helpful, a ton of tests must be completed later on to convey an exceedingly self-governing robot for inner part painting. A new approach is proposed using raspberry pi, the robot which can be operated by both manual and autonomous. The autonomous robot can be controlled using an android mobile where the application was installed. The existing approach gives feasible analysis for time and labor. It is not easy to correlate the work and people because painting an elevated building is very risk and time consuming. In this paper, the robot is mounted on equipment which permits it to move up and down, left and right along the exterior walls of a building. It is also equipped with sensors which measure indentations and protrusions in the wall surface and making it possible for painting. IR is used to enhance the current approach to detect cracks on the wall and gives indication such that we can rectify in prior from elongation of damage. In addition, it is very effective on time management and completes it without an error and would offer the opportunity to reduce or eliminate human exposure to difficult and hazardous environments. Finally, it is expected that the conceptual model of the wall painting robot would be efficiently used in various applications in wall finishing and maintenance of other architectural and civil structures such as commercial buildings, towers and high-rise storage tanks.