Passive ultrahigh-frequency (UHF) radio frequency identification (RFID) systems have gained immense popularity due to groundbreaking advances in wireless devices and technologies for their wide-scale industrial applications in inventory tracking and management. This session will explore the potential of passive RFID systems for indoor localization by developing a grid-based experimental framework using two standard and easily measurable performance metrics, including received signal strength indicator (RSSI) and tag read count (TRC). The presenter will create scenarios imitating real-life challenges, such as placing metal objects and other RFID tags in two different read fields to analyze their impacts on location accuracy. Learn the prediction potential of RSSI and TRC, both independently and collaboratively, and hear how both signal metrics can be used for localization with sufficient accuracy. The experimental results show an average error of as low as 0.286 (with consecutive grid distance defined as unity), which satisfies the grid-based localization benchmark of less than 0.5.