Item Localization System for Inventory in a Room Using IoT-Based RFID

Abstract

This study aims to develop an RFID-based localization system capable of recognizing and tracking the location of objects within an inventory room. The Landmarc method is employed to improve the localization system's accuracy by utilizing the RSSI values from RFID tags. To determine the location of objects, Euclidean distance calculations are used to compare the RSSI values of test tags with reference tags and distance to predict the object's location. Inventory data is stored in a database where the inventory can be tracked, and the history of specific inventory items can be viewed online. The final outcome of this research is a tool capable of detecting objects in three-dimensional buildings with a success rate of up to 68%. This achievement represents a significant improvement compared to previous research, which may have had lower accuracy. With the capability to detect in three-dimensional space, this system is more effective in tracking and identifying the location of objects, thereby increasing the accuracy and efficiency of the inventory process.