Year: 2025
Type: article
Abstract: : In the modern construction industry, automation is becoming increasingly essential to improve efficiency and reduce manual labor. This project focuses on developing that automates the wall painting process, ensuring uniformity, speed, and costeffectiveness. The machine is designed to move along a vertical and horizontal axis, covering large surface areas with minimal human intervention.The system consists of a frame structure, motorized rollers, a paint spray mechanism, and a microcontroller-based control system. Using sensors and programmed algorithms, the machine adjusts the spray pressure, movement speed, and paint flow to achieve consistent coverage. The objective is to reduce human effort, minimize paint wastage, and enhance the quality of the painted surface.This project has significant applications in residential and commercial construction, reducing labor costs and improving workplace safety by minimizing direct human exposure to paint chemicals. Future improvements could include AI-based surface detection, adaptive paint control, and integration with robotic arms for more complex painting tasks
Institution: Dr. Daulatrao Aher College of Engineering
Language: English
Subfield: Control and Systems Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4408775877