VLM output
An elevated CCTV view of a busy airport departure hall shows a large dense crowd of passengers massed in queue lanes near a check-in zone marked "Q", with luggage carts and belt-barrier lines around them. Across the three frames the crowd stays packed and roughly stationary while individual travellers, families and cart-pushers walk through the open floor and along the balcony walkway in the foreground; no incident or emergency is visible.
- Crowd DensityHigh
- Overcrowding DetectedYes
- Queue CongestionSevere
- Estimated People Count300+
- Unattended BaggageNo
- Blocked Walkway Or ExitNo
- Person Fallen Or DistressNo
- Restricted Area IntrusionNo
- Safety Risk LevelModerate
Customer challenges
Threats in a crowded terminal escalate in seconds, and manual CCTV monitoring can't watch every camera.
Loitering and wrong-way movement can signal a security or safety risk (e.g. breach of a sterile area) but are hard to catch manually.
Customer benefits
Early warning of fire and security threats, faster response, safer passengers and staff, and wide coverage.
Key features
Abnormal Fleeing / Running
Detects people abruptly fleeing or running, indicating a possible incident.
Smoke Detection
Detects smoke in monitored areas and raises an alert.
Flame Detection
Detects open flame in monitored areas and raises an alert.
Weapon Detection
Detects visible weapons in camera view and alerts security.
Loitering & Lingering
Flags people loitering or lingering in an area longer than expected.
Wrong-Way / Incorrect Movement Path
Detects movement against the intended direction or outside the correct path.
Passenger Safety
Monitors passenger areas for conditions that put passengers at risk.
Before & after
| Before | After — with Linker AI Nexa |
|---|---|
| Before Incidents caught by chance on monitors or after they escalate. | After — with Linker AI Nexa Fleeing crowds, smoke, flame, and weapons flagged to security within seconds, with location, for human review. |