Case Study: Honey Access achieves fast indoor location analytics with Visla AI software

Honey Access launches AI software in 8 weeks with Visla

Honey Access runs a network of 4,000 sensors worldwide that collect Wi-Fi and Bluetooth signals to track how people move, but they faced a challenge with accurately determining indoor locations because GPS doesn't work well inside and classical triangulation formulas are ineffective as signals bounce off walls.

Visla developed a machine learning algorithm that determines a device's position by learning the signal strength characteristics for each spot within a venue, turning bounced signals into an advantage. The vendor delivered a full AI solution, including an online GUI for calibration, in just 8 weeks, resulting in a super-fast data processing system built in months rather than the years it might have taken with other frameworks.

Honey Access