Indoor positioning is a research area focused on developing techniques and technologies to accurately locate objects or people inside indoor environments such as buildings, malls, and airports. This is typically done using a combination of sensors, such as Wi-Fi, Bluetooth, and RFID, along with algorithms to process the data and determine the position of the target. Indoor positioning has a wide range of applications, including asset tracking, navigation, security monitoring, and location-based services. It is particularly important in facilities where GPS signals are weak or unavailable, making it difficult to rely on outdoor positioning technologies. Researchers in this field are working on improving the accuracy and reliability of indoor positioning systems, as well as developing new techniques to address challenges such as multipath interference, signal attenuation, and dynamic environments.Methods such as fingerprinting, trilateration, and dead reckoning are commonly used to determine location indoors.