Panda has been designed to acquire uniquely identifyable 'fingerprints'. These fingerprints can be both literal or figurative. We combine many different data captures into a single unique ID.
Most communication devices now use touch screen interfaces allowing us to measure an individuals touch by two metrics, pressure and radius.
Over a relatively longer duration, we add usage patterns to the fingerprint.
We then take these matches, and combine them with any images that are taken with the device. Using various algorithms for analysis we can then ascertain if the picture has been taken by the owner, uniquely ID'd individual or if it is an image of another person.
After doing historical analysis on the photos and ascertaining a probable match, we can then add a third match to the fingerprint.
Another match comes from a small sampling of each phone call made from the device. These samples do not exceed more than two seconds in length and are polled randomly throughout a call. Vocal analysis is performed, and as we gather the data a more complete analysis is performed.
We can monitor images to find symptoms of ReDS along with many other diseases. And since this information is acquired in real time, we can also have carry projection maps of predicted, historical and current vectors.
Also, as photos are taken they are automatically geo-tagged, so we can match physical locations with apparent symptomatic, and infected populations.
After we obtain a statistical amount of certainity regarding the user of the device we can than import that information into INSTEDD.
Once this fingerprint has been imported into INSTEDD, we can then utilize the information to determine where we should start monitoring images and GPS data from.
As data collection builds up, and real time information supplants manual collection efforts we can largely replace on the ground observers. We, however, can not simply eliminate them.
We then are able to leave the device as an agnostic measuring tool. When another person uses the device, the; pressure, radius, location, voice, usage patterns and images taken differ. Thus any 'terminal' becomes a measuring tool.