Blue Dot is a dedicated effort to improve localisation accuracy and reliability for the indoor positioning industry. Based on real world feedback we continuously research new ways to implement additional improvements. In real world terms, the indoo.rs Blue Dot is used to calculate the exact position shown on your phone in an indoor venue. In real world terms, the indoo.rs Blue Dot determines your exact position on your phone in an indoor venue. This can be implemented quickly and maintained effortlessly in any indoor venue worldwide with ease, thanks to the SLAM Revolution
Through painstaking research and improvements we sit with one of the best solutions on the market with a rapid and accurate installation. With sub 2 meter accuracy, also known as Aisle level accuracy, we have been able to implement award winning solution. Our successful deployments include Offices, Supermarket, Airports, Events and navigation for the Visually Impaired community.. We have also taken part in the recent GEO IoT testbed against other industry competitors and performed at an extremely high level.
We have many patent pending technologies behind the indoo.rs Blue Dot but the main ones are.
- Radio Navigation
- Pedestrian Dead Reckoning (PDR)
- Adaptive Kalman Filter
The combination of these three are what make the award winning technology pinpoint your position.
Our Radio Navigation is built to determine absolute position and consists of two stages. First, a rough calculation to determine building, floor and general area is made. Next, using reference data for this rough area a more accurate calculation with sub 5m position and accurate error estimate is done. With this approach high quality navigation is possible without significant power drain on the mobiles. A unique feature is our latency compensation that reduces any lag between actual and displayed location.
Our PDR system is built to determine the motion of the phone by use of motion sensor data. A resampling buffer is used to process the data so that it works across multiple devices and mobile Operation Systems. With this we determine whether the user is walking, and if so a steps are detected through a dynamic peak detector. A custom 9D sensor fusion is used with state of art pose independent heading detection gives the direction of the steps. The resulting step+headings gives us a good idea of the relative motion of the phone.
The positions and steps are fused together in our AKF to produce the superior Blue Dot trajectory. With the AKF we get a smooth trajectory that is insensitive to outliers and has very low latency. This enables a more accurate and responsive navigation experience.
This allows us to place the Blue Dot on the map and have it smoothly move at exactly your current pace.