New in RideView
ΦFP™

Precise alerts.
The pursuit of zero false positives.

RideView's ΦFP™ uses the latest Vision Language Models (VLMs) based on Generative AI to verify edge AI events before they reach your coaching queue — filtering false positives automatically.

Drowsiness Detection · ΦFP™ Precision Uplift
99.1%
Up from 94% — same cameras, no hardware changes

Edge AI only 94.0%
Edge AI + ΦFP™ 99.1%
Based on early customer deployments

The Impact

Every false positive is a cost.

Driver attention lost. Trust eroded. Safety team's time wasted. ΦFP™ changes that.

Without ΦFP™
~60
false positivesper 1,000 genuine events
With ΦFP™
9
false positivesper 1,000 genuine events

For Safety Conscious Fleets

A coaching queue your team
can finally trust.

False positives never make it to your team

ΦFP™ filters every event before it reaches your queue. Managers stop second-guessing and start coaching.

Earn Drivers' Trust

Drivers are only flagged when the risk is confirmed — fewer disputes, stronger trust, better driver engagement.

Consistent and Cost effective reviews

Human review is time consuming, expensive and inconsistent. With the latest gen AI technology, VLMs make the process of reviews accessible to fleets of all sizes.

Works with your existing cameras

No hardware changes. ΦFP™ is a cloud layer built on generative AI — it upgrades the intelligence, not the devices.


Get Started

Ready to see ΦFP™
in action for your fleet?

Get in touch with us — we'll demonstrate how ΦFP™ can reduce false positives and build trust across your fleet.

Request a Demo