Making Video Verification More Effective with Artificial Intelligence

AI ties video in with intrusion alarms to slash false alarms and save valuable law enforcement resources.

The camera, as the saying goes, does not lie. The ability to see video footage of an alarm event in progress has dramatically reduced false alarms in recent years. And, when that video is supported by the capabilities of artificial intelligence (AI), it even further empowers operators and response teams to respond swiftly, and appropriately.

So while it’s true that video verification has been enabling better informed responses for several years now, the application of AI for this purpose has proven a real game-changer. Leveraging video to verify intrusion alarms has been gaining some serious momentum recently, as the technology has improved and become less expensive.

Increasingly more end users are cognizant of its capabilities and also realize that first responders have grown very weary of the wasted resources and dollars lost to false alarm dispatches. Video verified alarms simplify central station and dispatch operator processing time significantly.

They literally cut to the chase and enable an immediate dispatch complete with concrete evidence and facts of what is truly happening at a location. Informed decisions make for better decisions and the best possible security outcome. AI is certainly helping the cause.

Innovations within the Internet of Things (IoT) and AI are enabling video surveillance systems to be much more powerful and proactively predict potential security incidents. Technologies including machine learning, deep learning and artificial neural networks are allowing intelligence based on learned patterns and predictive analytics. The information it can impart to video is impressive.

Exploring Artificial Intelligence Capabilities

“The capabilities of AI in video verification are becoming increasingly powerful,” says Steve Walker, vice president of monitoring operations – U.S. for STANEY Security. “AI is allowing video to look beyond the presence of humans to identify actual circumstances where human activity is prohibited. For instance, AI can be used to partition a particular space within a secured area to watch for the presence of two individuals rather than just one and raise an alert only in that circumstance. Using AI to recognize certain situations known to increase the probability of a crime brings tremendous value to the monitoring company, and for the customer improves security while optimizing labor costs associated with monitoring.”

“AI’s ability to accurately identify humans and vehicles reduces false alarms by 90% or more,” says Brian Baker, chief revenue officer, Calipsa.

This reduction, he says, allows central station operators to focus on real events and enables law enforcement to respond less to non-threatening activities.

“AI-based software performs an initial review to eliminate virtually all alarm events not containing humans or vehicles,” Baker adds. “Station operators analyze the reviewed video to ensure the alarm isn’t the result of an event such as planned maintenance at the site. Law enforcement officials have confidence in response calls when they know a human has reviewed the video and verified assistance is required. With fewer incoming nuisance calls, officers can respond more quickly to events genuinely requiring their presence.”

Along with the addition of AI, video verification technology itself has improved considerably the past couple of years. […]

AI ties video in with intrusion alarms to slash false alarms and save valuable law enforcement resources.

Exploring Artificial Intelligence Capabilities

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