The identification of RFID signal using k-means for pallet-level tagging

• Main Authors: Ahmad Fakhri, Ab. Nasir, Choong, Chun Sern, Anwar, P. P. Abdul Majeed, Muhammad Aizzat, Zakaria, Mohd Azraai, Mohd Razman
• Format: Conference or Workshop Item
• Language: English
• Published: Springer, Singapore 2020
• Subjects: TK Electrical engineering. Electronics Nuclear engineering
• Online Access: http://umpir.ump.edu.my/id/eprint/28905/1/The%20Identification%20of%20RFID%20Signal%20Using%20k-Means%20for%20Pallet-Level%20Tagging.pdf; http://umpir.ump.edu.my/id/eprint/28905/; https://doi.org/10.1007/978-981-15-6025-5_18

Radio Frequency Identification (RFID) applications are becoming increasingly popular in a myriad of areas, and therefore, an effective RFID technology-based location would offer a much-needed additional in tracking system. This research focuses on the identification of the location of passive RFID at the pallet-level, which uses the RFID signal strength to cluster the pallet level tagging through k-means. A comparison between the actual and the predicted level attained via the k-means clustering is evaluated through a multi-class performance metrics. It was demonstrated from the investigation that the k-means model is capable of achieving a classification accuracy of 69% and 67% for the train and test data, respectively.