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Our system counts people at transit stops, sends timely crowding alerts, and helps dispatchers deploy more vehicles to routes when needed.
300+ stops

now covered by our video analytics

Using AI to reduce crowding and shorten wait times at public transit stops

Using AI to reduce crowding and shorten wait times at public transit stops

Nizhny Novgorod
Visualize passenger crowds at stops in real time
Reduce overcrowding and shorten wait times during peak hours
Quickly adjust and reinforce routes

Client challenge

We integrated our AI with the city's existing video surveillance system. We set up automated alerts for the dispatch center.

Our Solution

How it works

Cameras at transit stops transmit the video stream to the analytics system.

1.
The system sends the dispatcher a notification with the address, time, and associated route.

3.
The dispatcher deploys more vehicles or adjusts schedules accordingly.

4.
Cameras at transit stops transmit the video stream to the analytics system.

2.

как ии решает задачи

We can deploy a pilot program using your existing infrastructure and demonstrate initial results within weeks.

Deploying the solution locally

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