DETECTOR

Smart tool to protect public transport revenues, assets, passengers and mobility

DETECTOR's main objective is to tackle fare evasion (travelling without a valid ticket), which is a serious problem affecting public transport worldwide.

Not only does fare evasion cause revenue losses, but it also creates a feeling of unfairness and unease among paying passengers.

How it works

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OFFENCE

A camera above the ticket barrier feeds images to DETECTOR’s artificial vision algorithms and AI-software which detect fraudulent incidents.

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ALERT

The system forwards screenshots of the incidents to the app installed on the smartphones of ticket inspectors.

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INSPECTION

The outcome of each incident is fed back to the system so that other inspectors can see it in real time, allowing for coordinated ticket checks.

STATISTICS

Public operators can make use of real-time fare evasion data, real-time intervention tracking, efficiency analysis, and inspection routes recommendations.

Direct benefits

✓ Drastic reduction in fare evasion at entrances to mass transit systems (subway, train stations)

✓ Leaner, more responsive inspection teams that can conduct rapid interventions

✓ Less random ticket-control inconveniences for fare-paying passengers

✓ Interventions during rush-hours without interrupting passenger flow 

✓ Continuous real-time statistics to improve ticket-inspection tactics

Initially deployed in Barcelona, DETECTOR is currently actively operating at 14 stations and being tested in 5 different countries. 

Efficiency and reliability

Our computer vision algorithms are designed to work with minimum hardware and software requirements for maximum efficiency. 

The algorithms recognise the movement patterns of fare-dodgers while ignoring non-relevant activity and generating few false positives. 

One camera for multiple gates

Cameras are installed above the ticket barriers allowing for a multi-angle view over the passengers entering or exiting the stations. 

One camera can surveil multiple access gates at the same time. 

DETECTOR is a standalone system that works exclusively on video analytics, and is not connected to the fare gates or to the ticket validation systems. 

Detector app

Ticket inspectors receive fare-dodging alerts within 3-5 seconds of the incidents on the app installed on their smartphones (available both on iOS and Android). The alerts can be customised to include sound and vibration. 

The app has a simple and easy-to-use UI, displaying clear sequential images of the fraudulent incident/ passenger at the gate. 

Ticket inspectors can log the outcome of each incident in the app (passenger was checked/ fined or not fined, etc.)

Statistics

With DETECTOR’s web-based dashboards, public operators can make use of real-time fare evasion data, real-time intervention tracking, efficiency analysis, and inspection routes recommendations, with hourly, daily, weekly and monthly statistics. 

Granularity: per gate and per hour.

Performance and Scalability

Our system can be customized to fit your video managing system architecture

Intranet-based architecture

Cloud-based architecture

Fare evasion tactics our system can detect

TAILGATING

REVERSE ENTRY

GATE JUMPING

GATE FORCING

70%

Measured drop in fare evasion as reported by public transport operator FGC after pilot tests in Barcelona

SUPPORT AND RECOGNITION

DETECTOR has been given specific international recognition by the UITP (International Association of Public Transport), as one of the four global innovation finalists in the ‘Operational and Technical Excellence’ biannual UITP Awards (Milan, June 2015). AWAAIT has received funding from the European Commission through the H2020 SME Instrument grant.

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