Location data exist differently for each environment. The accuracy of location recognition can be improved through composite positioning technology and calibration algorithms utilizing various hybrid data depending on the environment. Learn about the types and characteristics of hybrid data used by WATA
Wi-Fi is easily available infrastructure as it is widely used in offices, shopping malls and residential areas. A user's location is determined with WATA's positioning algorithms that collect multiple Wi-Fi APs and signal strength and correct the collected data.
Beacons are widely used for commercial purposes thanks to its low cost and easiness to install. At the same time, there are shortcomings related to signal coverage, concurrent user limits and maintenance issues. However, by using other location infrastucture in parallel, it is possible to overcome these shortcomings and increase indoor positioining accuracy. In particular, beacons work well with iOS as location change is recognized quickly.
It is a method of determining the user's location by utilizing radio signals between mobile communication terminals and base stations, such as 4G LTE/5G, and is the most basic positioning method used because there is no need to change the configuration of a separate device.
The geomagnetic sensor (compass) built into every smartphone that supports navigation detects unique patterns created by the interaction of the building's rebar structures with the Earth's magnetic field. Even in buildings with similar or identical structures, a combination of other built-in sensors and hybrid location infrastructure can track the user's location with high location accuracy.
Wata uses the smartphone's barometric pressure sensor to detect the user's vertical movement and movement between floors, even in indoor spaces with many floors due to the large size. Since the atmospheric pressure changes frequently depending on the environment, the sensor value cannot be used as an absolute value. However, Wata recognizes the change in atmospheric pressure due to the user's movement between floors and compares the number of floors with other location information collected on the same floor. recognizes.
The PDR calculates the relative position from the starting point by using the inertial sensor built into the smartphone to grasp movement information such as the movement speed, acceleration, direction, and distance of a person. It can be applied anywhere as long as it is a space where a smartphone is used.
Wi-Fi RTT measures the distance from the smartphone to the AP through the round trip time of the signal. A wide range of positioning is possible using a small number of APs, and the position is recognized with a high level of accuracy, usually within 1~2m.
It transmits/receives at low power over a wide frequency band, causing little interference with other wireless technologies, and can be used in parallel with NFC, BLE, and Wi-Fi to increase accuracy. It is evaluated as a high-precision positioning technology because it has high transmittance to obstacles such as walls and can locate people and objects even in shaded areas.