By James Pero For Dailymail.com
Published: 22:49 BST, 15 May 2019 | Updated: 02:34 BST, 16 May 2019
An advanced research arm of the U.S. government's intelligence community is looking to develop AI capable of tracking people across a vast surveillance network.
As reported by Nextgov, the Intelligence Advanced Research Projects Activity (IARPA) has put out a call for more information on developing an algorithm that can be trained to identify targets by visually analyzing swaths of security camera footage.
The goal, says the request, is to be able to identify and track subjects across areas as large as six miles in an effort to reconstruct crime scenes, protect military operations, and monitor critical infrastructure facilities.
The US government wants to track subjects using cameras across a vast network using an algorithm that is trained on other human subjects
To develop the technology, IARPA will collect nearly 1,000 hours of video surveillance from at least 20 camera networks and then, using that sample, test various algorithms effectiveness.
The agency's interest in AI-based surveillance technology mirrors a broader movement from governments and intelligence communities around the globe, many of whom have ramped up efforts to develop and scale systems.
Facial recognition in particular has seen a flurry of interest from law enforcement throughout the last several years.
As reported by the Washington Post, some law enforcement agencies now have the ability to use facial recognition software to assess mugshots of criminals, or in some cases even police sketches, and match those images with security footage.
In U.S. airports, facial recognition software has been particularly popular, with the Department of Homeland Security planning to roll out what it calls the 'biometric exit' in nearly all major air travel hubs across the country over the next several years.
The idea mimics methods used in China to track its citizens using cameras. A recent report shows that the county's program has gone even further. Stock image
The technology would use pictures of passengers face to monitor their