![]() ![]() Wouldn't it be cooler to actively query the sea level pressure for a known location before asking the sensor to calculate the altitude? This would provide a more accurate reading, letting us roughly calculate the floor of the building we are on. What you may not know is, those altitude readings are commonly based on a standard sea level pressure measure of 1013.25 hPa. We can use data from a BME280 sensor to calculate a reasonably accurate altitude. Tracking an asset on a 2D map is so last year □. In this project, the Notecard is going to allow us to use both GPS and triangulation to accurately ascertain a device's position. You may already know that triangulation is the process of determining a location by forming overlapping diagrams on a common point of interest, from a series of other known points. But it's good to have a backup in case getting a GPS satellite fix fails (which can often be the case inside a building). GPS should always be the first choice when attempting to ascertain physical location. Ready to dive in? Let's start with the high level requirements of this indoor tracking solution. We can also tap into a commonly used sensor to measure altitude, giving us the ability to ascertain the building floor and provide "3D" asset tracking. Well have I got a solution for you today! At least a proof-of-concept solution □.īy using our old friend triangulation from trigonometry and geometry, we can build a fully-functional indoor asset tracking solution built upon on the Blues Wireless Notecard. ![]() However, what if the device enclosure prevents you from acquiring GPS location due to a physical barrier? What if trying to get a GPS satellite fix consumes too much power? Or (and here's the real kicker) what if your goal is to track an asset indoors ?
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