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.