See every boarding. Match every payment.
In-cabin AI cameras track passenger boarding and movement, and match it against payment terminal events in real time — surfacing fare evasion automatically.
The Problem
- Manual ticket inspection covers a small fraction of trips and does not scale.
- Fare evasion is a direct, continuous revenue loss for the transit operator, independent of any government fine framework.
How It Works
Detect boarding
An in-cabin camera detects passenger boarding and in-vehicle movement.
Match payment
The system cross-references boarding events against terminal payment records by time and location.
Flag evasion
Unmatched boarding events are flagged as evasion candidates for review.
Boarding-to-payment matching
Every boarding event can be matched against payment activity
In-cabin vision tracks boarding flow near the vehicle entrance while payment terminal events provide the matching signal for review.
Privacy-conscious review
The system surfaces candidates; operators confirm before any action.
Transit-operator value
Recovered fare revenue can be evaluated independently of traffic fine frameworks.
Route-level insight
Patterns can be analyzed by time, stop, route, and enforcement coverage.
Potential Impact
Published transit research puts fare evasion at under 5% in tightly monitored systems, rising to 25–30%+ of trips in systems without consistent enforcement — a direct, recoverable revenue gap for any transit operator.
under 5%
Fare evasion in tightly monitored transit systems (published transit research)
25–30%+
Of trips lost to evasion in systems without consistent enforcement (published transit research)
Enforcement Model
Same hybrid pattern as BusAI: AI detects and flags, a human inspector or conductor confirms before any penalty or billing action — avoiding the automatic-penalty legal objection DriveLens already resolved with MIA on BusAI.
Value Framing
Positioned to the transit operator directly, not only the city: recovered fare revenue is a simpler, more immediate argument than fine-sharing, and can be pitched independently of BusAI.
Recover the revenue you're already owed
Talk to us about your route and what consistent fare enforcement could recover.