Video Anomaly Detection

Anomaly detection involves identifying patterns or events in data that do not conform to expected behavior.

In video surveillance, anomaly detection refers to the use of advanced algorithms and AI to automatically detect unusual activities or behaviors that may indicate security threats, operational issues, or safety hazards.

By using machine learning and advanced algorithms, anomaly detection systems can analyze vast amounts of video data in real-time, identifying anomalies that could go unnoticed by human observers.

Why Use Anomaly Detection?

Anomaly detection is used to detect unusual dangerous situations in public spaces or suspicious behavior by people and to stop dangerous situations from escalating further.

Smarter Security

• Improved Security
  Automatically detects suspicious activities, ensuring quick response to potential threats.
• Lowering costs
  Reduces the need for constant human monitoring, freeing up resources and lowering operational costs.

• Real-time anomaly alerts, immediate response
• No manual setup required
• High accuracy, fewer false alerts
• Protect patients privacy with anonymization filter
• Adaptive scene-specific learning algorithms

IRIS+™ delivers highly accurate real-time event detection for anomalous events and patterns, drawing an operator’s attention to unexpected behaviors and trends that might otherwise go unnoticed.

The Anomaly Detection capability identifies events or objects without manual rule configuration or pre-definition, alerting the operator in real time.

Objects that generate alerts include:

• Person
• Vehicle
• Two-wheel vehicle