Everon pushes deeper into proactive security with enhanced active video monitoring

LAS VEGAS—Everon is expanding its services with an enhanced active video monitoring offering designed to stop threats before they reach a facility, leveraging artificial intelligence (AI), real-time operator intervention and tightly integrated operational processes. 

The offering allows the national integrator to shift its focus from verifying alarms after an intrusion to proactively monitoring activity outside the asset, says David Charney, senior vice president of video at Everon. 

“Once an intrusion, access or fire alarm goes off, the building has already been penetrated,” he said. “Active video monitoring is about earlier prevention and deterrence - watching the exterior environment so incidents don’t escalate.” 

Everon showcased the service at ISC West as part of its broader remote video monitoring (RVM) strategy, which extends beyond traditional central station functions.  

Moving beyond traditional video verification 

The enhanced active video monitoring capability pushes Everon deeper into exterior protection. Use cases include deterring copper theft, loitering, vandalism and other unwanted activity around rooftops, loading docks, parking areas and building perimeters. 

The service combines AI-based analytics with live operator response, including audio warnings, lighting activation and direct engagement with individuals detected on site. 

“If someone is lingering behind a building longer than expected for that camera view and time of night, we can intervene in real time,” Charney said. 

AI efficiency as ‘table stakes’ 

Charney says AI is critical to making active video monitoring viable at scale, particularly in reducing nuisance alerts. He says Everon is consistently achieving greater than 96% efficiency in filtering out signals that operators do not need to review - a metric the company tracks weekly. 

“That’s table stakes,” he said. “Our operators shouldn’t be staring at shadows, trees or lighting changes.” 

Everon is also using behavioral and loitering analytics, calibrating expected dwell times for specific camera views based on location, time of day and normal foot traffic patterns, with responses triggered when activity exceeds those thresholds. 

Staying ahead of the AI curve 

Everon evaluates AI providers through its internal innovation lab, pitting them against one another to identify the best-performing solutions for real-world monitoring environments. The company selected several top vendors last year and continues to refine deployments as AI capabilities evolve. 

“This space is changing rapidly,” Charney said. “We’re working closely with AI providers, but everything has to work operationally - left to right - to be successful.” 

Technology plus process 

While AI plays a central role, Charney stresses that technology alone is not enough. Everon has spent the past year refining end-to-end operational processes to ensure systems remain reliable and defensible. 

“If a camera goes offline, you have to detect it, document it, attempt a remote restart and, if necessary, roll a truck,” he says. “You can’t let a customer operate without reporting. If something happens and there’s no visibility, that becomes a negligence issue in today’s environment.”