Trapped in an Elevator? AI System at Namo Bharat Stations Can Raise Alarm in 60 Seconds

Why It Matters

Faster, automated emergency response reduces rescue time and enhances passenger safety, setting a new standard for AI‑driven safety in public transport infrastructure.

Key Takeaways

• AI detects elevator entrapment within 60 seconds.
• Alerts auto‑escalate to critical if not resolved in another minute.
• System runs offline using existing CCTV, no cloud dependency.
• Scalable for metros, airports, hospitals and other public venues.

Pulse Analysis

Elevator incidents have long been a blind spot in transit safety, relying on passengers to manually trigger alarms that may go unnoticed for minutes. NCRTC’s new AI system leverages real‑time camera analytics to monitor lift cabins continuously, spotting abnormal motion or stalled doors that indicate a trapped rider. By processing video streams on‑premises, the solution sidesteps latency and privacy concerns associated with cloud services, delivering alerts to the Operations Control Centre within a minute of detection.

The technology integrates directly with the existing CCTV infrastructure, converting passive surveillance into an active safety layer. When an entrapment is identified, an instant message and audible alarm are dispatched to station staff, and if the situation persists for another 60 seconds, the alert escalates to a critical level, prompting immediate intervention. This automated escalation ensures that no incident is left unattended, while the offline architecture guarantees reliability even during network outages, a crucial factor for mission‑critical transport environments.

Beyond the immediate benefits for Namo Bharat commuters, the system’s modular design makes it adaptable to a wide range of public‑infrastructure settings—from metro networks and railway stations to airports and hospitals. Its cost‑effective use of existing hardware lowers deployment barriers, encouraging broader adoption of AI‑driven safety measures. As urban mobility providers seek to improve resilience and passenger confidence, such innovations signal a shift toward smarter, data‑centric operations that prioritize rapid response and operational continuity.