AI Video Anomaly Detection Software

Security teams are asked to monitor more cameras than any human can effectively watch. The average security operations centre generates thousands of alerts per week. Studies consistently put the false positive rate for traditional CCTV analytics between 70 and 90 percent.

The result: operators spend most of their shift investigating alerts that turn out to be nothing. Attention degrades. Real incidents get missed. And the more cameras you add to the network, the worse the problem becomes. Adding staff is expensive and doesn't scale. Configuring rules for every camera is time-consuming and breaks every time the environment changes. There has to be a better way.

icetana AI doesn't work from a list of rules. It works from an understanding of your environment.

When icetana is deployed, it begins learning what normal looks like for each camera on your network, the typical patterns of movement, the expected flow of people and vehicles, the activity that's routine for your site at any given time of day.

Within 24 hours it begins sending events. Within one week it has a detailed baseline for your entire environment. From that point, it monitors continuously and surfaces only the footage that deviates from normal. Not motion. Not objects crossing lines. Genuine anomalies, events that are unusual given everything the AI knows about your site.