Find Radius Security in SP&T NEWS Digital Edition

by Suzanna Su October 5th, 2021 in Security Resources
Estimated Reading Time: 1 minute, 58 seconds
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Some of Canada's leading central monitoring stations have integrated artificial intelligence to optimize their business performance and improve their service offerings. New artificial intelligence-based software eliminates more than 90 percent of false alarms by focusing on real-time images of humans and vehicles captured by surveillance cameras. As a result, monitoring Center Operators can focus on more incidents with fewer false alarms to filter through. 

How Does Artificial Intelligence Work?

Neural networks within the AI-based software "learn" in a similar way as a human brain. For instance, it analyzes countless footage and images of suspicious activities, such as intruders and unauthorized vehicles. Then, with human corrections and enough data on recognizable patterns, the software becomes more accurate in detecting crime-in-progress. In the field, alarm-generated video is transmitted to cloud-based software, which eliminates non-actionable activity and sends true alarms to a monitoring station in a process that takes about a second. Additionally, intelligent video analytics provide more consistency and adaptability as it can run 24/7 and be customized to the site's specific needs.

Responding officers would typically be too busy addressing dispatches that often turn out to be false alarms. However, Radius Security's Research, Development and Production Manager, Aleksei Bulavko, reveals that: When [our] operators call law enforcement to dispatch officers, they also can provide a four-digit code enabling officers to use in-vehicle laptops or mobile phones to view an online site map and live video events from the site. This way, police can see what we see to better prepared for the appropriate measure to achieve successful apprehensions of the suspects.

What Is Next for the Security Industry?

Bulavko argues that big data will be a growing and valuable asset for predicting events. Computers are much better and faster at detecting patterns than humans," he said. "Looking at the data gathered from entire sites, or a single camera over the years, we'll be able to predict which days and times are most likely to have more alarms and schedule our staff accordingly. Rather than wait for a surprise, we'll prepare in advance. Furthermore, remote guarding offers virtual camera-based patrols to monitor intrusion, fire and other activities. The service also includes two-way audio talk downs and recorded messages while capable of engaging with intruders and deescalating the situation.

Link to the article: https://bit.ly/3Do4cR9

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