Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
@article{192369,
author = {Ambili A R and Vinitha V and Job Sajan John and Kiran Jayaram and Manu Sankar and Sharath K},
title = {Embedded Control and Image Processing Approach for Automated String Art},
journal = {International Journal of Innovative Research in Technology},
year = {2026},
volume = {12},
number = {9},
pages = {1535-1538},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=192369},
abstract = {An automated string art machine that creates tangible artwork from digital photos is presented in this study. Nail locations are generated using Bresenham's technique, saved as text files, and then successively sent to an Arduino Mega microcontroller. To carry out accurate weaving tasks, we created a hardware-based system that is automatically operated by servo motors and an Arduino Mega, along with a CNC Shield V3. For precise, effective, and imaginative string art creation, the system integrates embedded electronics with image processing.},
keywords = {String Art, Embedded Systems, Servo Motors, Arduino Uno},
month = {February},
}
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