Development of radio frequency identification tracking system in industry warehouse using drone

Mohamad Nazri, Mohamad Amirul Aiman (2021) Development of radio frequency identification tracking system in industry warehouse using drone. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Due any industry's warehouse or sites rely on a wide range of tools, keeping track of their availability is a difficult task. To find materials in large industry and warehouse takes more time and energy. One of the most promising technologies for enabling new smart applications in the context of the internet of things is radio frequency identification (RFID) (IoT). However, from an electromagnetic standpoint, the performance of RFID tags is often linked to the context, thus the selection of the most appropriate tag for the specific application becomes the most important factor. This study presents an affordable yet accurate characterisation approach for the performance evaluation of RFID tags, which is then verified on the IoT-related application of RFID-based interaction with buildings. The widespread use of RFID technology has substantially increased customer convenience in a variety of applications, including smart tags. The systems, on the other hand, were designed using a active RFID system that requires a backup power source to operate. The planning and development of a passive RFID system is the subject of this study. The developed technology is utilised to manage a technology over a specific distance automatically. A prototype of a passive RFID system built in a highly automated environment. The application is being displayed for performance testing. The main component for this project was Radio Frequency Identification tracking system, Arduino, Ultrasonic sensor, and Drone. The RFID is attached to the drone. Drone were move by using ballistic flight which is a flight path on a screen and the drone will automatically fly along specified area. Signal were obtained by RFID sensors were transmitted wireless to microcontroller and input data were given. Arduino microcontroller were programmed to RFID to detect the tag and the drone will moved to the direction. As the safety propose of the system, ultrasonic sensors were used in order to detect and avoided obstacles. An analysis of test the accuracy and efficiency of RFID was done by comparing its distance and delay taken to transmit and receive data.

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