When people and objects have to be accurately located within indoor, narrow or irregularly shaped environments, GPS tracking is not a reliable option. On the other hand, sophisticated antenna-based locators are often costly black boxes, requiring heavy customization to be effective.

Flair-tech has supported Dotdotdot to design and develop a low-cost, easily customizable indoor positioning system, based on machine learning and Bluetooth signal. We have trained the underlying model to map the signal measured by a chain of receiver nodes to the location of a person/object within a complex environment.

Stay tuned to our blog to know more.