GeoIoT World Indoor Location Testbet Report - A Multi-dimensional evaluation of Ten Indoor Location Solutions

ReportsWorldwide has announced the addition of a new report title GeoIoT World Indoor Location Testbet Report - A Multi-dimensional evaluation of Ten Indoor Location Solutions to its growing collection of premium market research reports.

This report presents the results and analysis of the Indoor Location Testbed at the GeoIoT World Conference, in May, 2016.

The Indoor Location Testbed was the first industrial evaluation of indoor location solutions that measured a wide range of real-world metrics and produced a multi-dimensional analysis that reflects the complexity of the area.

To view a detailed description and Table of Contents please visit: https://www.reportsworldwide.com/report/geoiot-world-indoor-location-testbet-report---a-multi-dimensional-evaluation-of-ten-indoor-location-solutions

Ten solutions were evaluated from eight companies: BlooLoc (phone and tag solutions), GipsTech, Here (Bluetooth and Wi-Fi solutions), Indoo.rs, Lambda4, Movin, NexToMe and Senion. The solutions cross the spectrum of indoor location solutions. Most run on smartphones, but some use dedicated hardware. Many use beacons, but some are infrastructure-free or use signals of opportunity.

Two solutions were the top performers among the phone-based solutions, combining the strongest accuracy with stabilization, consistency and setup time. One solution was strongest in the infrastructure-free segment, with performance competitive with beacon based solutions. One solution was the strongest in the hardware based segment. All the testbed participants performed very well compared to industry norms.

The testbed analysis confirms the great advances that the industry has made in recent years. Infrastructure-free solutions and Wi-Fi based solutions achieved high accuracy as well as many of the beacon-based solutions. SLAM and SLAM-like technology succeeded in reducing the setup time required for some solutions. Solutions using dedicated hardware achieved even better results than the smartphone based solutions. Solutions using motion sensing succeeded in avoiding the accumulation of error over time. Several solutions achieved accuracy levels better than 2 meters when measuring after stabilization.

This analysis demonstrates that indoor location solutions are finally meeting market needs. Accuracy is improving and getting more consistent, setup time is going down, infrastructure requirements can be eliminated if desired, and SLAM technologies are enabling systems to be self-learning and adaptive. The upcoming year promises to be a very exciting one for indoor location technologies.

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