DIGITAL IMAGE PROCESSING ENABLED AUTONOMOUS ELECTRIC VEHICLE
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.
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.
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