Artificial Intelligence Companies Continue to Help Cut Down Crime SnapMunk

In the FBI's Crime in the United States, 2015 report, the intelligence and security organization revealed some startling facts about robberies in the U.S. According to the data provided, there were 327,374 robberies that took place in 2015 accounting for losses of $390 million (at least for those robberies that were reported). While that number feels shocking enough, it's the further elaboration on the weapons used during those robberies that provides a lot more insight into how these crimes are pulled off: With 46% of robbers relying on weapons to pull off their crimes, one way to quickly catch a threatening event is to catch the presence of an instrument commonly associated with aggression. Other key physical indicators, like the presence of a mask, or simply the presence of an unrecognized, unexpected visitor, can also be captured to quickly identify suspicious or immediately risky individuals on a business's premises. New Jersey-based, Deep Science AI has developed a technology that merges artificial intelligence with current business surveillance and security systems in an attempt to spot and prevent crime. While technology like AIsight–installed around Boston after the Marathon bombings–attempts to identify potential criminals through recognition of things like, "Casing the joint, poking around where he shouldn't be, going around looking at the back entrances to buildings", enhanced object identification technology is at the heart of Deep Science AI.