Human Counting and Indoor Positioning System Using WiFi Technology

The position that inside the building are unable to be tracked precisely due to the signal blocking by the wall and rooftop. It is difficult to measure the population of people inside the building such as shopping centre, airport, hospital and so on by current GPS system. Thus, WiFi network is suggested to he used for improvement the positioning technology inside the building where the wireless sensor network are commonly used in the building nowadays. This project study the behavior of RSSI (received signal strength indicator) value. The presentation of RSSI behavior are discussed with Butterworth low pass filter, Savitzky-Golay smoothing filter, and satistical analysis in section IV. After the experiment, the satistical analysis is the chosen algorithm to obtain filtered RSSI value from WiFi embedded devices and radio map. Thus, by comparing the filtered target device's RSSI value with the radio map, the position can be estimated precisely.