Stop losing
revenue to riders
who never tap.
ZIG AI combines computer vision with real-time fare-system data to determine whether each boarding is supported by a valid payment. It works with your existing fare collection and CCTV infrastructure — without facial recognition or a system replacement.
Closing the visibility gap
Fare systems record a transaction only when a rider chooses to tap, scan or activate a fare. When no interaction occurs, the agency may have no reliable record that the rider boarded. ZIG AI closes that visibility gap by connecting detected boarding activity with actual fare outcomes.
Three Principles behind every deployment
Verified Payment
Confirms fare outcomes against agency data, not assumptions.
Existing Infrastructure
Works alongside AFC, validators, fareboxes and CCTV.
Privacy-First
No facial recognition. No biometric matching. Ever.
Traditional fare systems
have blind spots
Mobile ticketing, tap-to-pay, smart cards and QR validators depend on rider interaction. When someone boards without tapping, the fare system alone cannot determine whether a valid payment exists. Manual inspection cannot provide consistent, network-wide visibility.
Four-step verification process
A closed loop from detection to learning — designed to run in real time at the edge and improve with every reviewed event.
Detect
Computer vision identifies boarding activity in real time.
Verify
Edge AI checks boarding against AFC tap and payment records.
Alert
Confirmed anomalies are routed to authorized teams.
Learn
Reviewed outcomes improve performance across the deployment.
Operational benefits that scale
Accessible by design – Hands-free operation works for every rider, with no typing, taps, or scans required.
More accurate fare compliance visibility
Network-wide reporting grounded in verified boarding-to-payment matches.
Reduced false positives through transaction verification
Every alert is reconciled against your AFC before it reaches a person.
Time-sensitive processing during connectivity interruptions
Detection and verification continue on the edge — even when networks blip.
Less reliance on drivers for fare disputes
Operators are freed from confrontation; evidence is captured automatically.
Route, stop, time and door-level operational insight
Segment performance down to the exact door and time-of-day window.
Scalable deployment across transit modes
Bus, light rail, metro and BRT — one platform, one operational model.
Integrates without replacing existing systems
ZIG AI overlays existing fare collection, validators, fareboxes, gates, mobile ticketing and CCTV. Open integration connects the platform with fare back-office data while current infrastructure remains in place.
Privacy by design
Common questions
Does ZIG AI replace our fare system?
No. It works alongside existing AFC and validation infrastructure, adding a verification layer without changing your revenue systems.
Does it use facial recognition?
No. ZIG AI does not perform facial recognition or biometric matching. It identifies boarding behavior, not identity.
How are transfers and fare rules handled?
Your agency's fare rules — transfers, passes, concessions and time windows — are applied before an anomaly is ever routed for review.
Can the system operate during connectivity interruptions?
Yes. Time-sensitive detection and verification continue at the edge. Events reconcile with the back office once connectivity is restored.
Awarded by the institutions that define
the future.
ZIG AI's fare-verification technology has been recognized by leading transit and innovation organizations.
Fare evasion is a solvable
operational problem.
See how ZIG AI can help your agency identify confirmed non-payment, protect
revenue and modernize fare-compliance operations — without replacing
current fare infrastructure.