ABSTRACT
Computer vision solves the universal problem of users needing to carry a transmitter or a receiver. Since the position of the sensor is known, the position of the sensor can be computed. In addition, triangulation computations to locate the transmitter node are done on a central computer. Some existing infrastructure-based indoor positioning research systems include Active Badge, Active Bat, and PinPoint, which require the user to wear a transmitter that periodically emits a pulse picked up by a grid of receivers, whose positions are known. One of the target applications for Bluetooth networks is to provide more accurate and lower-cost indoor positioning. Indoor positioning systems utilizing the location fingerprinting method require a user to record signal strengths of all access points (AP) in range from a point in a table. The APs are communication ports for wireless devices, wherein the communication occurs across an “air link” between the wireless device and the APs.
