Alarm.com has released what it calls ‘Ambient Insights for alarm response’, a solution that delivers contextual information to monitoring stations in the event of an alarm based on what the system senses is occurring around a property.
The idea is that operators can use this real-time data to prioritize alarms, as well as alerting police or emergency services faster, while false alarms are reduced.
Alarm.com said the system is able to determine whether the alarm may have been caused by unusual activity, and to advise operators of the likelihood an alarm may be cancelled by a resident. Contextual data is also provided by Alarm.com’s visual verification service and alarm response portal.
“Alarm.com has long applied machine intelligence to generate contextually aware insights proactively for property owners,” said Dan Kerzner, chief product officer at Alarm.com.
“Ambient Insights for alarm response are the next step in our multi-year vision to use AI and adaptive machine learning to define the next generation of smart monitored security. We’re especially proud of this solution as it allows for a better customer experience and helps the industry reduce false alarm dispatches.”
Ambient Insights for alarm response uses Alarm.com’s Insights Engine, a proprietary machine-learning capability that identifies patterns and insights in the growing set of data generated by devices and sensors in a connected property.
This is a key development from Alarm.com – it’s great to see machine learning beginning to work its way into the alarms sector where it will assist monitoring centres, slash false alarms and raise customer security and safety levels.
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