Read more: Watch Out, Google Maps: With Amazon Location Service, The Location Cloud Is Here Timeline for business on the move On the location tracking platform, we apply clustering algorithms and heuristics to understand device movement, and generate activity and outage markers in our location timeline summary.
This data is securely ingested into the HyperTrack platform. With the HyperTrack SDK in your geolocation app, we harvest data from sensors like GPS and accelerometer through APIs made available by the phone Operating Systems. Tracking outages (when we were not able to track the user).Drives with accurate map-matched distances.Stops with addresses and steps during the stop.HyperTrack provides a detailed breakdown of the user's day including: Location tracking controls are available through the server, and rely on explicit permissions from geolocation app users to protect user's privacy. While Google Maps location timeline is available only through Google Maps app, HyperTrack is an SDK that may be added to any location tracking app. Add location timeline tracking to any geolocation app The actual distance for the drive is accurate with HyperTrack and inaccurate by 30% with Google Maps. HyperTrack recorded the same drive as a 16 minute drive of 3.8 miles with higher location accuracy. In the side-by-side screen recording above, Google Maps recorded a 14 minute drive of 2.5 miles with relatively straight lines. HyperTrack had far more granular data with location accuracy compared to Google. HyperTrack's location timeline versus Google Maps timeline We compared the HyperTrack's location timeline with Google Maps on the same device. Some of you might be familiar with the location timeline feature in our Google Maps app (requires always on location access). Comparison with Google Maps location timeline In case the device could not be tracked for a period of time, seeing those outage segments in the location timeline with precise reasons and locations makes it actionable to handle exceptions in location tracking. Splitting the polyline of location history into activity segments helps understand the key moments in the journey.Īugmenting the activity segments with cool data like steps, distance and addresses gives useful context about the location accuracy in the journey. Replaying the location timeline as a polyline on the map makes the journey come to life. Mobile phones have powerful sensors to log detailed information through location tracking app and know about users' movements with their permission.
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