How is AI making video surveillance proactive? Here are five transformative ways:

1. Trigger-Based Alerts:
   AI-powered systems analyze video feeds and generate alerts based on predefined rules. For instance, they can notify users if an unidentified vehicle arrives at a loading dock or detect movement in restricted areas after hours.
2. Reducing False Alarms:
   AI minimizes costly false alarms caused by factors like wind, rain, or animals. This reduces penalties for repeated false alarms and ensures real alarms are more reliable and actionable.
3. Efficient Incident Review:
   AI can skip irrelevant footage and highlight periods with activity, speeding up the review process when time is critical, such as during investigations.
4. Vehicle Management:
   Advanced AI features like license plate recognition (LPR) automate access control by identifying authorized vehicles and flagging unauthorized ones, enabling seamless and secure vehicle management.
5. Real-Time Insights:
   AI systems analyze video content in real-time to generate actionable insights. They can identify objects, track patterns, and detect anomalies like overcrowding in public areas, enhancing situational awareness.

Surveillance Beyond Cameras:
These five AI features are only the beginning. When a surveillance system is designed with software integration in mind, authorized third parties can develop industry-specific or context-driven solutions using their own analytics. For example, you can already access tools to detect and investigate retail fraud, conduct advanced license plate analysis, monitor workplace safety compliance, and much more.

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