Apache: Big Data 2016

Real-time accurate indoor positioning poses many new possibilities and challenges. At indoo.rs (Austrian based start-up founded in 2010), we enable positioning within mobile applications (Android/iOS) so that users can find themselves and navigate through floor plans. In practice, we estimate location and movement, using motion sensors and comparisons of radio scans (WiFi/iBeacon) to pre-measured reference measurements (fingerprints). We currently are transitioning from using dedicated measurements to an approach that learns and updates references by analyzing data from navigating users.This approach uses the Hadoop ecosystem to combine the output of the IOT network of mobiles and beacons with big data based machine learning and near real-time analytics (including visualizations). The complete solution reduces implementation and maintenance cost of installing indoor location.