Location
This comes in the form of an Android or Apple app that can be setup for user control, or locked down for compliance.
This delivers high performance background tracking, with low power usage to ensure your device does not constantly run out of battery.
This app solves the challenge of 24/7 secure tracing of people while allowing for personal privacy.
The app also keeps GPS data logs even when users are offline and updates the system when back online.
Umajin allows large volumes of real-time GPS and ground enhanced GPS data to be checked if it falls inside a Geofence. Umajin Geofences support thresholding to reduce errors with variable GPS readings.
This means assets in the field can be easily found, routed and scheduled with future estimations based on current velocity
Workflow involves tracking and scheduling a series of tasks which are triggered by rules and events.
The Umajin Workflow system ensures that only important events are raised, making it much easier to focus on what’s important and deliver meaningful improvements to efficiency.
The location engine also protects privacy where tracked objects are outside the time or location window.
For example vehicle trackers can be set to not send location when in safe zones or outside working hours.
The spatial transaction engine can crunch high volumes of both indoor and outdoor location data, from many assets, in real time, serving up sparse actionable data thanks to points of interest.
This turns an overwhelming data problem into a very manageable report of meaningful changes.
Umajin supports a wide range of modern IOT devices and sensors.
For example; indoor/outdoor trackers from AmoSense like the T2 Logistics Tracker.
Cellular GPS devices from CoreKinect like their TankTrack and Verizon’s Critical Asset Sensor.
AmoSense T2 Logistics Tracker
Create custom solutions to locate, track and monitor your critical assets. Location data for assets can be collected by many different types of technologies e.g. fleet tracking systems, applications on smartphones, indoor location systems and IoT sensors. Umajin’s location transaction engine understands all these different types of inputs and lets you create powerful asset tracking solutions.
Create custom solutions to locate, track and monitor your critical assets. Location data for assets can be collected by many different types of technologies e.g. fleet tracking systems, applications on smartphones, indoor location systems and IoT sensors. Umajin’s location transaction engine understands all these different types of inputs and lets you create powerful asset tracking solutions.
Umajin supports a wide range of both 2D and 3D map technologies to support common application requirements like locating items on a map or indicating routes and progress along them.
Formats include Google Maps, Google Earth, open street maps and multilayer custom tile sets. Umajin also supports 3D building CAD data and 3D photometric scans of buildings. Umajin has a unique capability of translating GPS to illustrative map locations (think NYC subway maps).
With a flexible tile set viewer different licensed source maps such as Google, Open Street maps and others can be used to overlay location based data.
With native Google maps support wayfinding and routing can also be used with the correct Google licensing.
Data sets can also be viewed in 3D – this is particularly interesting where building data is available to create very realistic scenarios for users or to allow the integration of other 3D data sets.
The ability to have purely illustrative map layers is very useful for use cases like the Umajin indoor location technology. This allows you to locate rooms within complex multi-story buildings simply by marking the points of interest on image based floor plans.
In a unique feature for Umajin it is possible to use GPS and RF location technologies – along with wayfinding on simplified illustrative maps.
Even though the map is visually simplified Umajin can translate the users real world position into the visual map space making it easy for users to visualize their location relative to land marks in museums, parks and public spaces like transport hubs.