The aim of this study is to use the Internet of Things (IoT) for data monitoring of powered wheelchairs, which is divided into monitoring the position, tire wear, and battery charge level. Our system can be divided into two parts: Arduino UNO (an open-source microcontroller board; the word “uno” means “one” in Italian) and Raspberry Pi. Arduino UNO combines radio frequency identification (RFID) to read Electronic Product Code (EPC) tag information to establish the position information of powered wheelchairs. Raspberry Pi, through cooperation with the Quantum Geographic Information System (QGIS), establishes a coordinate activity map and monitors the tire wear of the powered wheelchair at any time, and uses a DC100 V LED dual display digital voltage meter head and external shunt to detect the lead-acid battery charge level of the powered wheelchair. Finally, a Microsoft Excel macro and Excel Visual Basic for Applications (VBA) are used to integrate the EPC tag information, tire wear, and lead-acid battery power consumption data and display them as real-time dynamic charts. The user can know the status of the wheelchair at any time, the user’s family can also know the operation status of an elderly user or one with limited mobility, and the user is informed in advance when the wheelchair needs to be adjusted.