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Paruthi Ilam Vazhuthi, P.
- Automatic Wall Painting and Crack Detection Robot Based on Raspberry Pi
Authors
1 Department of ECE, V.R.S. College of Engineering and Technology, IN
Source
Automation and Autonomous Systems, Vol 8, No 2 (2016), Pagination: 45-49Abstract
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.Keywords
Painting Robot, Automation, Wall Painting, Raspberry Pi, Infrared.- Vehicular Automatic Speed Control, Monitoring and Tracking in ARM Platform
Authors
1 V.R.S College of Engineering and Technology, Arasur, IN
2 V.R.S College of Engineering and Technology, Arasur, IN
Source
Automation and Autonomous Systems, Vol 6, No 4 (2014), Pagination: 102-106Abstract
This paper presents the development of a methodology to manage and trace the vehicle velocity, temperature and position of the vehicle from the vehicular system .We proposed a automatic speed control system through analysis and monitoring through digitalized image sensing of the vehicle ahead and use color segmentation algorithms to have a position of the vehicle ahead, aiming predict a need of preventive maintenance and mostly avoids collision between the vehicles. In this proposed system, accelerometer which will identify vibration, temperature sensor to identify the temperatures at critical points of vehicle, a microcontroller hardware which will make acquisition and processing of signals from sensors. The acquired parameters such as Vehicular speed, position and temperature are stored in a SD card and finally The vehicles sends information to the Emergency services, respective mobile numbers. The post processing is performed remotely through a computer that receives the data submitted via GSM presenting them to the user via graphical interface. This leads to minimize collision in highways.