Autonomous learning AI does not miss "unusual" at security sites

Surveillance cameras are installed all over the world, but it is said that only 2% of the footage is used in real time. Since it is impossible for humans to monitor a large amount of surveillance camera footage 24 hours a day, 365 days a year, it is mostly used only for post-mortem confirmation. On the other hand, security is becoming more important than ever due to a shortage of security personnel and rising labor costs due to a decline in the working population, as well as an increase in management space and a recovery in inbound tourism.

The anomaly detection solution "icetana" provided by Macnica solves problems at security sites by effectively utilizing existing surveillance cameras. icetana's autonomous learning AI understands the normal state of each camera and reports only "unusual" events in real time instead of the human eye. It is now possible to respond to a wide range of unexpected events that were previously unnoticed, and security operations that do not rely on human resources can be realized. In addition, by utilizing the data obtained by icetana, we will optimize patrol and sentry operations. It is possible to build an efficient security system without compromising security quality.

At this security show, we will introduce icetana's more detailed detection mechanism, operation, and detection examples. In addition to being able to see it in action at a large commercial facility in Australia, you can also experience operating the management screen. It has already been introduced in several large facilities in Japan, but the example of its introduction in Mitsubishi Estate's Maru Building and Shin-Maru Building is particularly useful for businesses facing security issues. Please take a look.

Along with the icetana system, we are also introducing NVIDIA's GPU solutions. Please come and visit us.