IJSMT Journal

International Journal of Science, Strategic Management and Technology

An International, Peer-Reviewed, Open Access Scholarly Journal Indexed in recognized academic databases · DOI via Crossref The journal adheres to established scholarly publishing, peer-review, and research ethics guidelines set by the UGC

ISSN: 3108-1762 (Online)
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DIGITAL IMAGE PROCESSING ENABLED AUTONOMOUS ELECTRIC VEHICLE

AUTHORS:
S. ANBAZHAGAN
Mentor
Dr. K. NANDAKUMAR, Dr P. J. SURESH BABU
Affiliation
Department of Electrical and Electronic Engineering  E.G.S. PILLAY ENGINEERING COLLEGE-NAGAPATTINAM
CC BY 4.0 License:
This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract

This paper presents a factory supply autonomous electric vehicle designed for indoor material transport in a controlled industrial environment. The vehicle uses digital image processing to follow a predefined path inside the factory. An object detection model trained in Edge Impulse is added to detect obstacles and improve safety during movement. A robotic arm with a gripper is included to load and unload materials automatically. The vehicle also supports voice control, so a user can give a command such as “Line 1 supply need,” and the system will move to that location and unload the material. Since the system is made only for factory use, it is not intended for public road driving. This project helps reduce manual work, improve delivery speed, and support automation in factories.

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ANBAZHAGAN, S. (2026). Digital Image Processing Enabled Autonomous Electric Vehicle. International Journal of Science, Strategic Management and Technology, 02(04). https://doi.org/10.55041/ijsmt.v2i4.280

ANBAZHAGAN, S.. "Digital Image Processing Enabled Autonomous Electric Vehicle." International Journal of Science, Strategic Management and Technology, vol. 02, no. 04, 2026, pp. . doi:https://doi.org/10.55041/ijsmt.v2i4.280.

ANBAZHAGAN, S.. "Digital Image Processing Enabled Autonomous Electric Vehicle." International Journal of Science, Strategic Management and Technology 02, no. 04 (2026). https://doi.org/https://doi.org/10.55041/ijsmt.v2i4.280.

References
1.S. Ch et al., “Real-Time Object Detection Using Mobile Robot Captured Data for Robotic Object Recognition,” IEEE Xplore, 2024.

2.Y. Chen et al., “Distributed Real-Time Object Detection Based on Edge Computing,” IEEE Access, 2022.

3.Kim et al., “Improving Performance of Real-Time Object Detection in YOLO-Based Systems,” IEEE Xplore, 2024.

4.Vasić et al., “Real-Time Object Detection for Mobile Robot Manipulation,” IEEE Xplore, 2025.

5.Kumar et al., “Edge Computing Assisted Autonomous Driving Using Artificial Intelligence,” IEEE Xplore / Research Paper, 2021.

6.Object Detection Algorithm for Autonomous Driving: Design and Real-Time Performance Analysis,” ScienceDirect, 2025.

7.“Object Detection in Autonomous Vehicles Using Deep Learning,” IJFMR, 2024.
Ethics and Compliance
✓ All ethical standards met
This article has undergone plagiarism screening and double-blind peer review. Editorial policies have been followed. Authors retain copyright under CC BY-NC 4.0 license. The research complies with ethical standards and institutional guidelines.
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