Mass Transit Crowd & Perimeter Control

Edge-AI vision and smart turnstiles against fare evasion and platform safety incidents.

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-46%

Fare evasion

Platforms covered

2 sec

Edge detection latency

The problem

A metro rail authority experiences high rates of fare evasion and platform safety incidents.

The solution

Smart turnstile integration and edge-AI computer vision detecting passengers stepping over safety lines.

A metro system's safety problems arrive as thousands of small events: a jump over the turnstile, a step past the yellow line, a crowding pattern that precedes a fall. Human eyes cannot score all of them.

Edge analytics score them in two seconds, station-side, and route the ones that matter to officers already positioned by the data. Fare revenue recovered and platform incidents fell with the same deployment.

Two-second detection, coverage where incidents actually happen.

Inside the deployment

Smart turnstiles

Gates reported forced entries and tailgating as structured events, not noise.

Edge-AI platform vision

On-platform analytics flagged yellow-line crossings in two seconds, station-side.

Response staffing model

Alert volumes were mapped to officer posts so coverage followed the actual incident curve.

Interactive demo

Outcome modeler

50%

Vulnerability reduction

Edge-AI coverage50%Turnstile integration50%

Modeled estimate for planning conversations only, not a performance guarantee. Ask for a program quote to price your real parameters.

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