Message posted by Smythers on September 14, 2020 at 13:36:50 PST:
Take this pod and have it paired with a 'Gorgon Stare' type array - a long dwell 'pattern of life' sensor system, and have it watch the region for a week. In that week, the machine learning would pick up the regular pattern of life, who goes where, what time, it is scary accurate at how stuck into routine human beings are no matter where in the world they live. Then? Week two? Have it look for people 'out of place' and tag them. These tags would then go into week 3, and the tagged become persons of interest. These persons of interest would then be number crunched by the pod's brain, and flagged to the weapons operaor and pilot. This would then take the strain of sifting through Gb of data and hundreds of manhours wasted trying to find targets by hand. If we then took it a step further and added sensor fusion to this? The pod could then send data back on this person of interest to Beale AFB, have it all added and 'fused in' and then meta data from any and all SIGINT sources overlayed. Think mobile phone data, internet records, what ever fits to build their ops board picture. And wham. You have eyes in the skies that are there, staring down, pointing out the bad guys before a human being could even register something was amiss.
Absolutely.
* Now, one thing I would love to add if I may, was from Afghanistan. SAR imaging was down to one-sixteenth of an inch in accuracy from some of the systems, and was used, along side said pattern of life systems noted above, to find soils that had been disturbed and thus? Were sites for potential convoy IED. It worked wonderfully, but the bottleneck was the human in the loop looking through data. Throw this pod into the fight? Its exciting times for sure.
In Reply to: Re: AGILE CONDOR UAV Pod posted by Joerg (Webmaster) on September 14, 2020 at 11:59:40 PST:
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