Aggressive Behavior Detection

Scylla Aggressive Behavior Detection swiftly detects movements associated with fights and vandalism, allowing for a rapid response to prevent violence.

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FAQ

The Aggressive Behavior Detection module identifies violent and hostile behaviors, such as fight, assault, arrest, and brawling.

No, the module requires direct physical contact lasting at least a few seconds to trigger detection. It does not detect aggressive walking or chasing behavior.

Yes it can, as long as there is direct physical contact.

No it can’t, direct physical contact is needed for the fight detection alarm to be triggered.

The system is capable of detecting both individual fights and large-scale group fights. It analyzes multiple interactions within the frame to identify violent behavior across different individuals.

The number is dependent on the configurable parameter, the larger is the number, more instances of fight per camera could be detected, but also the hardware consumption is rising as well, recommendation is to set this number to 3.

The vandalism detection module is a modified version of the aggressive behavior detection system. It flags vigorous actions such as striking an ATM with a tool or repeatedly punching an object, which may indicate property damage. However, it only detects cases where significant damage is inflicted—activities like graffiti drawing would not trigger an alert.

Scylla's anomaly detection modules are trained on footage from static cameras, meaning that for optimal accuracy, the camera should remain stationary. However, slow-moving PTZ cameras can still be used, though any movement — especially abrupt changes — may increase the risk of false alerts. Proper calibration and strategic camera positioning can help mitigate this issue.

The preferred aspect ratio is 16:9 for optimal performance. However, the module supports all aspect ratios and can function across different video formats.

Yes, Scylla AI’s video analytics can operate on drone-mounted cameras; however, accuracy may be reduced compared to static setups. For optimal performance, the drone should remain as close to the event as possible and minimize movement to reduce false detections.

Aggressive Behavior Detection

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FAQ

Can it detect aggressive walking or someone chasing another person?

Can it detect fighting if weapons like sticks are used instead of physical contact?

Can the Aggressive Behavior Detection system detect a group of panicked people running as an anomaly?

Can it detect group fights, or does it only detect individual fights?

How many fight instances can a single camera detect?

What is considered vandalism by Scylla AI system?

Can PTZ (Pan-Tilt-Zoom) cameras be used with the Scylla Aggressive Behavior Detection module?

What is the preferred aspect ratio for the Scylla Aggressive Behavior Detection module?

Can Scylla AI’s video analytics work on drone-mounted cameras?