Traditional security systems trigger on motion -- every shadow, animal, and blowing leaf generates an alert. The result? Alert fatigue. Security teams learn to ignore alarms because 95% of them are false.

SCT+ AI works differently. Our machine learning models are trained on millions of real security scenarios to understand context, not just motion. Here's how it works:

Object Classification: AI identifies what triggered the event -- person, vehicle, animal, or environmental factor. Only relevant objects proceed to threat analysis.

Behavior Analysis: The system analyzes behavior patterns. A delivery person walking to a door is different from someone testing locks. Normal employee movement is different from after-hours trespassing.

Zone Rules: Custom rules for different areas. Parking lot activity during business hours is normal; the same activity at 2 AM is suspicious.

Human Verification: When AI flags a potential threat, trained security operators review the live feed and make the final call. The result: 90% fewer false alarms with zero real threats missed.