Design and implementation of RFID line-follower robot system with color detection capability using fuzzy logic

Nugraha, M. Bima and Ardianto, P. Rizki and Darlis, Denny (2015) Design and implementation of RFID line-follower robot system with color detection capability using fuzzy logic. In: 2015 International Conference on Control, Electronics, Renewable Energy and Communications, 27-29 Aug. 2015, Bandung, Indonesia.

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Abstract

Recent mobilization and transportation system in an industrial complex or in an office building, generally still using manual operated system. It has weaknesses in operation time, precision and operator/user authorization. There's a need to make complementary system to overcome those weaknesses. One of the available solution is to use AGV (Automated Guided Vehicle) robot systems, one of the example of this system is line-follower robot., In this study, the line-follower robot is designed to detect different color lines which represent different route, and restrict the operator authorization. This system use microcontroller with fuzzy logic implementation, using Mamdani model inference method. To detect lines, robot is equipped with LED and LDR-based color sensor, and RFID-based identification/authorization system. Output of the system is robot movement, so the robot can follow the guide lines., From the test results, the completed system shows the system is capable to detect different color lines with 100% accuracy in 10-bit ADC value. It also capable to restrict operator authorization in pair with the stated RFID cards with 100% success result. Robot is able to move according to the predetermined guide lines from RFID card input with the maximum speed at 0.083 m / s .

Item Type: Conference or Workshop Item (Paper)
Keywords: Line-Follower , Fuzzy Logic , Mamdani , RFID , LED , LDR
Subjects: 600 Technology (Applied Sciences)
Divisions: Faculty of Engineering & Informatics > Electrical Engineering
Depositing User: Administrator UMN Library
Date Deposited: 08 Dec 2021 10:06
Last Modified: 08 Dec 2021 10:06
URI: https://kc.umn.ac.id/id/eprint/19406

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