False Alarm Reduction Service is web application designed to reduce false alarm in intrusion systems
False Alarm Reduction Service is a unique web application designed to reduce false alarm activity and identify behavioral and maintenance issues. This software-only, cloud-based application utilizes machine learning to analyze past alarm data to identify alarm patterns and proactively provide insights and recommended actions. The application does not intercept real-time events, but uses past data to find root causes and mitigate future alarms.
False Alarm Reduction Service demonstrates a commitment to innovation and optimization, enabling users to:
Reduce Alarm Activities & Police Dispatches: Reducing alarm activity increases operational efficiency and reduces costly dispatch fines.
Reduced Site Risk: By analyzing arming usage, site compliance by zone, and the status of security equipment, we are able to identify when a site is at risk or not functioning as designed.
Preventative maintenance: We analyze system health and identify rapidly degrading and chronic under-performing sites.
In commercial environments, 98% of alarm signals are not actual security events, but rather “noise” with a variety of root causes. Using the False Alarm Reduction Service, a large retailer with 1,500 sites could expect the following within the first year:
30% reduction in alarm signals, resulting in $263,000 operational savings annually*
20% decrease in false police dispatches, reducing $160,000 in fines annually**