Morphean x Calipsa: Reducing False Alarms with AI-Powered Video Analytics
Security providers and alarm receiving centres face a growing challenge: too many alarms, and not enough of them are genuine. Every night, monitoring teams are flooded with alerts, incorrect camera configuration, or poor installation. For operators, this creates a constant stream of nuisance alarms that must still be reviewed. The result is alarm fatigue, slower response times, increased operational costs, and less time spent focusing on genuine security incidents.
To help solve this challenge, Morphean has integrated with Calipsa, an AI-powered cloud video analytics solution designed to filter false alarms before they reach operators.
Together, Morphean and Calipsa help security providers focus on what truly matters. Calipsa analyzes recorded video data to detect the presence of people or vehicles, helping filter out unwanted alarms before they reach the monitoring center.
When Morphean generates an event, images are sent to Calipsa for analysis. Calipsa’s AI determines whether a person or vehicle is present and classifies the event as true or false. Morphean then receives the result and ensures operators are only alerted to the events that matter.
This integration helps monitoring teams reduce environmental noise, minimize unnecessary alarm handling, and improve overall efficiency. Instead of spending valuable time reviewing false triggers, operators can focus on genuine incidents and respond faster where action is needed. The impact can be significant. With operators spending an average of 33 seconds investigating each alarm, reducing false alarms by up to 90% can save significant hours, annually.
By combining Morphean’s cloud-based video security platform with Calipsa’s AI-powered false alarm filtering, monitoring centers can reduce wasted time, lower costs, and scale operations more efficiently all while keeping operators focused on what truly matters.