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Deep learning-based analytics that can provide alerts as threats develop

Deep learning-based analytics that can provide alerts as threats develop
Deep Science AI offers Artificial Intelligence Surveillance (AIS) platform that performs active threat detection for small and retail businesses.
With the development of analytics technology, several companies have come forward to offer solutions that can proactively ensure security. But while a lot of such solutions may not provide alerts as early as required, a Red Bank, New Jersey-based company claims to be able to provide real-time alerts.

Deep Science AI offers Artificial Intelligence Surveillance (AIS) platform that performs active threat detection for small and retail businesses. According to the company’s CEO, Sean Huver, the company’s AI can spot threatening situations by identifying objects such as weapons, individuals wearing masks or helmets, intruders in the after-hours or people fighting.

“When a threatening detection is made, a human monitoring analyst is notified immediately, who then determines what the response should be,” Huver said. “Having a human-in-the-loop ensures that no false positives will be sent to the local authorities.”

Huver added that AIS is the first platform designed to alert authorities in real-time when threatening situations such as robberies are developing. Most crimes are usually only reported after they have already ended, making it likely the perpetrator will escape. Criminals like easy targets, and they’ll think twice about a retail location that can alert police in real-time when they’re spotted wearing a mask or with a gun.

AIS is the first platform designed to alert authorities in real-time when threatening situations such as robberies are developing.

AIS runs on the company’s own private GPU cloud while utilizing both Amazon’s and Microsoft’s cloud systems as backup. The company has also developed its own platform for deployment and monitoring.

Of course, at the core of this product is the tremendous power of deep learning. Huver came up with the concept while working as a research scientist on DARPA project to identify hostile drones using deep learning.

“I thought if we could solve a problem as difficult as that, then surely we can figure out how to spot robberies as they’re occurring in real-time inside of small and retail businesses,” he said.

There are over 70,000 small and retail business robberies in the U.S. alone every year. That’s over 200 a day, and 70 percent of those go unsolved. Additionally, these events make businesses vulnerable to injury liability lawsuits, which are often in the six and seven figures. These statistics alone should be enough to drive demand for a product like AIS.

“We’ve seen a large demand from South American countries such as Brazil, where gun crime is rampant,” Huver said. “With a large enough deployment we believe AIS will become a deterrent to robbery, while reducing response times when it does occur.”
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