
Reduce Revenue Leakage
Analyse passenger counts against ticket sales to identify revenue leakage zones, optimize ticket inspector schedules, and improve fare collection.

Accurate passenger counts reveal how people move through your network—helping you protect revenue, improve journeys, and plan services around real demand.

Analyse passenger counts against ticket sales to identify revenue leakage zones, optimize ticket inspector schedules, and improve fare collection.

Provide accurate occupancy levels and real-time vehicle locations to passengers for planning their transit journeys.

View real-time transit vehicle occupancy levels, identify high passenger density zones and passenger flow patterns across your network.

Align transit network plans and timetables based on your passenger flow. Conduct data-driven studies for rationalizing existing routes and planning new ones.

Optimize passenger movement through stations by identifying congestion points and improving crowd distribution in real time.
Automatic Passenger Counting
EYES 3 is the most accurate 3D stereovision Automatic Passenger Counter (APC) ever designed. Built to fit discretely above vehicle doors, it detects and counts every passenger who boards or alights.

EYES 3
3D stereovision passenger counter
98
%
Counting accuracy
Counting demonstration

WEBREATHE's Automatic Passenger Counting (APC) sensors are designed to integrate seamlessly in public transport vehicles and deliver precise, real-time and geo-localized passenger counting data.






A comprehensive software suite to help public transit authorities capitalize on their passenger flow data.

Track vehicle location & monitor occupancy-levels on our real-time Geographic Information System (GIS).

Visualize real-time ridership KPIs of the transit network.

Receive instant alerts for overcrowding & revenue leakage.

Improve network operations with real-time route-level insights.

Receive automated ridership reports in an excel format.

Visualize & analyze historical data using intuitive graphing tools.

Transform historical ridership data into future forecasts.

Replay historical trips to understand operational patterns.

Remotely monitor health & performance of all system hardware.

Seamlessly exchange data with third-party platforms.
