IRIS™ AI Alarm Filtering
Exclude 99% of false alarms
Traditional surveillance systems often generate a large number of false alarms for vegetation, animals, bad weather or light changes. IRIS™ AI Alarm Filtering acts as a virtual operator that filters out false alarms from third-party systems.
Let security operators focus on real events only
Minimize false alarms from low-performing analytics
Easy to implement to any existing camera system
This is how it works
IRIS™ AI Alarm Filtering uses object classification to analyze video or picture-based alarms. It highlights human activity and filters out false alarms from vegetation, animals, bad weather, and light changes. The system is a good alternative for those who might not have the availability to switch analytics programs but are sick of large quantities of false alarms every month.
G4S implements AI video analytics to transform operations
G4S is gradually transforming its security operations into more efficient ways of working. One of the key parts involves upgrading manned guarding solutions with integrated security technology.
Detect trespassing with any typ of camera on really long distances
Upgrade any camera to become an intelligent sensor. IRIS™ Intrusion detection minimizes false alarms, improves operations and detects trespassers on really long distances, using any type of camera.
Explore the benefits of going alarm-driven with IRIS™
By letting IRIS™ tirelessly sift through thousands of hours of streaming video in real time operators can focus their attention on the mere seconds of truly important video. Each suspicious activity is …