Volume 2 - Issue 3, May - June 2026

Automatic painting machines represent a significant advancement in the integration of robotics and embedded systems for industrial and artistic applications. This research presents the design, development, and implementation of an automatic painting machine using an Arduino microcontroller. The proposed system employs a Cartesian coordinate-based mechanism driven by stepper motors and servo actuators to execute precise, programmable painting strokes on flat surfaces. The machine interprets digital image data or user-defined patterns and translates them into motor control signals, enabling autonomous surface painting without human intervention. The system incorporates components such as an Arduino Uno, NEMA stepper motors, motor driver modules, a servocontrolled paint brush mechanism, and a structured aluminum frame. Path planning algorithms are implemented to optimize movement and minimize paint wastage. Experimental results demonstrate that the proposed system achieves approximately 85% pattern accuracy on standard flat surfaces, with significant improvements in consistency and repeatability compared to manual painting. This research highlights the potential of low-cost embedded systems in automating labor-intensive tasks and contributes toward intelligent automation solutions in manufacturing, construction, and creative industries.

Pushpendra Tyagi, Abhay Shukla, Golu Kumar, Harsh Kumar,"Automatic Painting Machine Using Arduino" International Journal of Advanced Multidisciplinary Research and Educational Development, V2(3): Page(200-204) May-June 2026. ISSN: 3107-6513. www.ijamred.com. Published by Scientific and Academic Research Publishing.