Anomaly Detection and Behavior Recognition

Scylla Anomaly Detection and Behavior Recognition allows security professionals to detect and identify high-impact anomalous events as they occur.

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How it works

Scylla is optimized to work on multiple video streams using a single GPU and provide real-time event tracking.

Once an anomalous event has been recognized based on the series of frames given to the model, Scylla sends alerts to all assigned endpoints.

The module supports real-time multiple stream processing as well as offline analysis of video recordings.

The models are trained on a large amount of anomalous and normal videos. This allows Scylla to operate in versatile environments and scenarios to immediately react and send alerts in case of an anomaly.

The system continuously self-learns, that’s why it can be adjusted specifically for your case, if the current dataset is not fully capturing the peculiarities of the environment at your premises.

Scylla AI detects

Aggressive behavior detection

Slip & fall

Vandalism detection

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What makes Scylla Behavior Recognition & Anomaly Detection System stand out

The AI-powered action detection and classification core enables the analysis of the behavior of almost anyone in view. Scylla AI utilizes a cascaded "detect->segment->assess" approach, making it scalable and applicable in challenging scenarios like observing distant individuals or crowded environments.

Centralized solution capable of handling multiple camera streams simultaneously

Flexible deployment based on the customer’s choice - can be on-site, cloud-hosted or hybrid

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