Four suspects recently robbed a jewelry store by dressing up as construction workers with hard hats and reflective vests - then used torches and drills to cut through walls to access a jewelry store and break into safes before leaving with $12 Million in jewelry and high-end watches.

“This was a brazen and sophisticated crime when you look at the totality of it.”
- Mark Michalek, Special Agent in Charge of the FBI's Denver branch

An FBI task force was eventually able to locate these suspects by submitting relevant details of their car into Flock Safety’s database. Relevant details that can be submitted include car color, make and type, along with any other characteristics that stand out.  

“[Flock Safety] is essentially a machine learning technology. And the algorithm is always learning. But it’s also very accurate.”
- Holly Beilin, Director of Communications at Flock Safety

Thanks to Flock Safety’s database, the suspects were apprehended along with the merchandise they stole. This story follows suit with countless other investigations across the country where technology is playing an increasingly impactful role in solving criminal investigations. It’s important for business leaders to understand the specifics of how security technology utilizes AI and machine learning so they know what to expect.  

“70%-80% of all criminal investigations have some sort of digital component available to them.”
- Chris Gray, Denver D.A. Crime Analyst

‍License Plate Readers

The most commonly used and well-known use of AI in security technology entails using AI-powered cameras that capture relevant evidence like license plates, car make and model, car color, decals, and other identifying details. AI cameras gather this evidence in real time and proactively flag any possible offenders before they’re able to reach any points of entry and pose a threat.

Relevant examples include License Plate Reader (LPR) cameras that can reveal a potential threat by scanning a car’s license plate and putting that information through a database to uncover whether they have a warrant, have previously been banned, or have been marked as a threat.

For example, a Georgia hospital was experiencing rising crime rates within areas like workplace violence and increased property crimes, this grew to negatively impact the safety and well-being of patients, staff, and other visitors.

To build a safer workplace environment, the hospital adopted Flock Safety LPR cameras to create a virtual security perimeter that obtained real-time information on potential threats and helped prevent unauthorized access by proactively alerting security personnel of known threats.
By adopting AI into their security technology landscape, the hospital experienced a 55% decrease in theft and an overall drop in crime.
   
Gunshot Detection

Another example includes AI-powered gunshot detection that fights gun violence by continuously learning and providing unbiased real-time location alerts on gunshots, fireworks, and sideshow street takeovers. This software, in particular, will help to revolutionize security for business owners due to rising rates of gun violence across the country.

An added benefit of AI-powered technology, like gunshot detection, is that it’s not influenced by any human biases that may lead to unfair treatment or harassment. Business owners can benefit from a system that’s solely focused on identifying real threats.

Access Control Systems

Workplace violence is a growing issue, especially within sectors like healthcare. Access control systems work to fight workplace violence with the use of AI-powered tools like biometric authentication and fingerprint scanning. This allows for better threat detection than tools like keycards because it analyzes user behavior patterns to detect suspicious behavior - and then proactively adapts access controls to block possible threats from entering.

To learn more about how your business can benefit from the growing AI security landscape, schedule a call with a Flock Safety representative today for a demo.

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