Technology related content from Crowd Connected

The completion of a 6 month project that sees 85% of all the integration support issues from the last year engineered out of our mobile SDKs.

The Colocator mobile library is in continuous development and improvement for both iOS and Android. From feature improvements to battery optimisation and smart ways to collect data, we are always keeping an eye on new mobile OS versions and technologies that would enable us to provide more insight.

How to assess the performance of indoor positioning solutions, and why a single accuracy number can be very misleading.

We’ve always provided multiple ways to turn underlying location data into insight. The latest addition is an intuitive, natural language spatial query builder - running on top of our Segmentation Engine.

Our location intelligence platform ‘Colocator’ has always been capable of cooperative positioning. But with the recent 2.1 release of our SDKs, copoertative has become an important part of our offering.

Guide to using the standardised set of CSV file outputs which present Colocator processed data in a structured fashion.

RTT for WiFi Indoor Positioning is one of the most promising developments in Indoor Location.

Which footfall analytics solution is the best? In deciding which technology to deploy, it’s vital to fully understand the application, and what different footfall analytics technologies can deliver.

An exciting milestone for Indoor Positioning. Wifi RTT is now fully integrated into Colocator, and we recently demonstrated end-to-end indoor positioning using Wifi RTT responders in our office.

At Crowd Connected we think Wifi RTT (aka Wi-Fi Location, Fine Timing Measurement (FTM), 802.11-2016 or 802.11mc) is going to be the future of indoor positioning. It allows mobile devices to accurately measure distance to compatible wifi access points.

The first question you should ask about any indoor positioning or location service - Does it work in background? Your customers' phones spend a lot of time in their pockets.

Location and beacon data gathered from mobile phones is affected by sampling rate variation. Without correction, business analysis can be flawed. Here's what you need to know.