Be honest: You’ve misread a recipe before. Maybe the 2 teaspoons measurement was mistaken for 2 tablespoons. Or you accidentally substituted baking soda for baking powder. You’re then left with an unfortunate batch of flat, slimy cookies. Not appetizing. The same goes for indoor positioning data. Forget the old age of Wi-Fi positioning. There’s a better way.
As with baking, indoor positioning requires precision. Take inaccurate GPS (A tragically ironic sentiment). State-of-the-art GPS adds a 16-foot cushion to location. And yes, that’s without obstructions. Add a building into the mix, and you may end up smack dab on the other side of the street.
Business-owners feel the brunt of the inaccuracy burn. Imprecise location = Frustrated customers. A bad rap will spread like wildfire online.
Indoor positioning works on a smaller scale, which equates to far less wiggle room. Relying on indoor positioning means knowing the exact visitor path from point A to B. Until recently, the tried-and-true option was Wi-Fi positioning, which typically clocks in anywhere from 4 to 8 meters in accuracy.
Wi-Fi locationing operates within this range by pinging an Access Point (AP) between two wireless devices, typically a cell phone. However, “the client device needs to be within range of at least three APs at any given time,” according to the Wi-Fi Alliance. Less beacons, more room for error. Stacked with the often cited “meter-level” accuracy, and you’re bound to run into problems.
Large-scale GPS positioning can fudge single-digit meter differences on the road, but with indoor positioning, a single foot in the wrong direction will leave your data like unrisen dough.
Now, imagine slicing that 4 to 8 meters down to less than 3 meters. That’s where Inpixon Indoor Positioning Analytics (IPA) shines. Precise, passive data collection within arm’s length. RF sensors passively detect Cellular, Wi-Fi, and Bluetooth devices. Even better, it’s tied into a single platform for easy analytics. One and done.
Precision rules in the positioning space. Incorrect data garners incorrect analytics. Inches matter, as do measurements in a recipe. Nobody wants a flat cookie.