AI-Based Smart CNC Plotter with Real-Time Error Detection and Mobile Notification

Authors: Mr. Mohan Raj K R, Paulson Joshua D, Gunathwyn GN

DOI Link: https://doi.org/10.22214/ijraset.2026.78930

Abstract

This project presents the design and development of an AI-based smart CNC plotter system capable of autonomous drawing, real-time monitoring, and intelligent path optimization. Traditional CNC plotters follow predefined paths without adapting to efficiency or detecting errors during execution. The proposed system integrates artificial intelligence to optimize drawing paths, reducing execution time and improving precision. Additionally, a real-time monitoring system is implemented using IoT technology to track the machine\'s status and notify users through a mobile application. The system uses image processing techniques to convert input images into vector paths, which are then optimized using AI algorithms. A microcontroller-based CNC mechanism executes the drawing process, while the AI module continuously monitors performance and detects anomalies. Mobile notifications provide updates such as task completion, errors, or maintenance alerts. This approach enhances productivity, reduces manual intervention, and improves system reliability, making it suitable for educational, industrial, and prototyping applications.

Introduction

The proposed AI-based Smart CNC Plotter integrates Artificial Intelligence (AI), Computer Vision, and the Internet of Things (IoT) to enhance the capabilities of conventional CNC plotting systems. Traditional CNC plotters rely on fixed G-code instructions, making them unable to optimize drawing paths, adapt to changing conditions, or detect operational errors. To overcome these limitations, the system employs OpenCV for image preprocessing and contour extraction, AI-based path optimization inspired by the Traveling Salesman Problem (TSP), and IoT-enabled remote monitoring with mobile notifications. Images are converted into optimized vector paths, translated into G-code, and executed by a CNC controller (Arduino/ESP32). During operation, the system continuously monitors motor movement, positioning, and errors, sending real-time alerts such as task completion, fault detection, and maintenance notifications via a mobile application or Telegram. Experimental results demonstrate 93% path accuracy, 30% path optimization gain, 90% execution efficiency, and 88% error detection accuracy, while reducing drawing time by approximately 29%, motor movement by 25%, and energy consumption by 20%. The integrated AI and IoT framework improves plotting accuracy, operational efficiency, and user convenience, making the system suitable for educational, prototyping, and industrial automation applications, although performance remains dependent on camera quality and lighting conditions.

Conclusion

The AI-based smart CNC plotter provides an intelligent and efficient solution for automated drawing systems. By integrating artificial intelligence, image processing, and IoT, the system optimizes drawing paths, reduces execution time, and enables real-time monitoring. The system improves precision, reduces manual effort, and enhances user interaction through mobile notifications. It is suitable for educational, industrial, and prototyping applications. Future enhancements may include cloud integration, deep learning-based image recognition, and multi-color plotting capabilities

References

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Copyright

Copyright © 2026 Mr. Mohan Raj K R, Paulson Joshua D, Gunathwyn GN. This 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.

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Paper Id : IJRASET78930

Publish Date : 2026-03-28

ISSN : 2321-9653

Publisher Name : IJRASET

DOI Link : Click Here