AI that finds
the fares
lost in transit.
Flobe spots fare evasion in seconds on the cameras your stations already have and shows, station by station, where fares go unpaid. It runs on site, explains every alert and leaves the decision to your team.
Know your losses
Unpaid trips counted per station and per hour, so you see where revenue goes.
Act within seconds
Inspectors get a short clip and the reason for every alert. A person always makes the call.
No new hardware
Works with your existing CCTV on compact hardware on site. Built for GDPR and the EU AI Act.
Member of NVIDIA Inception
Fareview sees every gate.
Explains every alert.
Learns each new station by itself.
Live output from a metro gate line. Every passage is analysed on the device as it happens, and faces are masked before anything is stored. Nothing is uploaded, and nobody has to label data or retrain the model.
Conventional computer vision fails the moment the signal drops, and underground it drops all the time. Fareview was built for exactly that moment: it sees every ticket barrier right on the device, learns each new station by itself and explains every decision, with no cloud to depend on.
Five pillars of on-device intelligence.
One engine, running on site. It classifies every passage, learns each new station by itself and keeps working through any outage, from gate lines to trains and buses.
Cloud Independence
Works offline, and video stays in the station. Zero cloud dependency, through connectivity loss, deep tunnels and full outages.
Cameras as Sensors
Integrates with standard station CCTV and ticketing systems. Raw video streams converted into real-time classifications of every passage.
Self-Adaptive AI
Fareview learns each new station by itself: its gates, its layout and its rush hours. It adapts on the device, with no manual setup and no retraining.
Live Station View
Automated incident logging and a live digital twin of every station and line, so you see where and when fares go unpaid.
Compliance & Trust
Visual evidence on every decision and no facial recognition. Built for EU AI Act Article 13 explainability and GDPR from day one.
Fareview
by Flobe.
A true and fair view of every fare.
Fareview runs on the cameras your stations already have. It spots fare evasion in seconds, sends inspectors a short clip and shows, station by station, where fares go unpaid.
Inside Fareview
Edge inference
Full inference on compact edge hardware inside the station. No data leaves the station, and it keeps working with no connection at all, from gate lines to trains and buses.
Ultra-low inference latency
From camera frame to decision in real time, with the same speed in rush-hour crowds and with no network at all.
Explainable by design
Visual evidence for every decision, and every decision can be audited. Built for the transparency rules of the EU AI Act (Article 13).
Where Fareview
works.
Metro, tram and bus networks, wherever fares go unpaid. Fareview works with the cameras a network already runs, at ticket barriers, on platforms and in carriages. It spots fare evasion the moment it happens and sends the nearest inspector a short clip, with every face masked on the device.
See. Understand. Explain. Alert.
From a camera frame to an alert on the right phone, entirely on-device and in real time. No cloud round-trip. No external dependency.
See
Fareview reads the cameras already in place at the gates, on platforms and in vehicles. Faces are masked first.
Understand
It follows every passage through the ticket barriers, notices what looks wrong and builds a live picture of each station.
Explain
Every decision comes with a short clip, the reason behind it and an audit trail. Transparent, verifiable, GDPR-compliant.
Alert
An alert lands in the mobile app of the nearest inspector, and a dashboard shows the whole network.
A passenger jumps a gate. The inspector knows within seconds.
No more random ticket checks. Inspectors see which gate it was, what happened and when, and can reach the passenger before they leave the station. People who paid are never identified.
Passenger video never leaves the station. Fareview does all of its work right where the cameras are, so there is nothing to upload, nothing stored in someone else's cloud and no extra bill for bandwidth. It works offline, deep underground and through network outages, and passengers stay anonymous the whole time.
Every alert comes with a reason. Inspectors see the clip and exactly what Fareview noticed, and every decision is kept on record for later review. Fareview never recognises faces and never fines anyone: a person always makes the final call. Built for the EU AI Act from day one. No black boxes.
Cloud independence
No vendor lock-in and nothing upstream to fail. Fareview lives inside your stations, on your terms and under your control.
Offline-first reliability
Built for the places a signal cannot reach: deep stations and long tunnels. Fareview works offline, and video stays in the station.
Software independence
Every update is signed and every decision can be traced. Operators, auditors and regulators can see exactly what runs in their network.
Hardware agnostic
No new cameras and no special equipment. Fareview works with the CCTV a network already has and runs on compact, everyday hardware.
Start a conversation.
We work with public transport operators, transport authorities and partners. Book a pilot and find the fares your network loses.