Artificial Intelligence Companies Help Cut Down Crime Brenda Barron - SnapMunk
go to original August 21, 2017

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:

• 127,053 used strong-arm tactics
• 123,358 used a firearm
• 23,759 used a knife or other sharp object
• 27,397 used a weapon of some other type

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.

... According to their website: “We leverage the incredible progress recently made in computer vision thanks to a type of AI known as deep learning… Our AI Surveillance (AIS) platform can spot weapons, people concealing their identity, fire, and intruders after-hours, all at a fraction of the cost of a human-only monitoring solution.”

Read the rest at SnapMunk

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