1Jagadeesh R S, 2Dr. M C Murugesh, 3U Viji
1Department of Robotics and Automation, Ramaiah University of Applied Science
2,3Department of Mechanical and Manufacturing Engineering Ramaiah University of Applied Science
DOI : https://doi.org/10.47191/ijmra/v7-i12-11Google Scholar Download Pdf
ABSTRACT:
This paper presents the design and development of an automated forklift system with integrated IoT-based weight monitoring and RFID-based pallet identification, aimed at enhancing efficiency and safety in industrial material handling. The forklift autonomously identifies, loads, and transports pallets using RFID technology, ensuring accurate pallet selection and handling. The IOT- based weight system, monitored via the Blynk app, enables real-time load tracking and overload alerts, safe operation. Path-following capabilities are achieved using IR sensors, while ultrasonic sensors provide effective obstacle detection, allowing precise navigation within medium scale industrial environments. By minimizing human intervention, the forklift system optimizes productivity, and offers a scalable solution for medium- scale industries. Results demonstrate the forklift’s effectiveness in automating complex tasks in industrial settings, contributing to improved workflow and operational reliability.
KEYWORDS:Autonomous forklift, IOT weight system, RFID technology, Line-following navigation, Obstacle detection, Industrial IOT Load monitoring, Medium-scale industries
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Volume 07 Issue 12 December 2024
There is an Open Access article, distributed under the term of the Creative Commons Attribution – Non Commercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/), which permits remixing, adapting and building upon the work for non-commercial use, provided the original work is properly cited.
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