DRIVERION
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Open Driver Safety Intelligence Platform

Driver Safety Intelligence.
Open by Design.

Detect fatigue indicators, distraction and attention risk in real time — at the edge. Turn observations into explainable safety events your drivers and safety teams can act on.

Deploy Driverion as software, integrate through the SDK, or connect it to Driverion-ready edge hardware.

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Edge-firstExplainablePrivacy-firstAPI & SDK readyHardware-flexible
Fleet Safety ConsoleLIVE
Driverion admin panel with a live fleet map, driver camera, road camera, vehicle telematics and recent safety events
Drowsiness event qualifiedEvidence + duration + recovery
Explore platform
Eye closurePERCLOSBlink timingYawningGaze directionPhone interactionHead poseObservation quality Eye closurePERCLOSBlink timingYawningGaze directionPhone interactionHead poseObservation quality

New approach

A frame is not a verdict.

A single yawn frame, treated as evidence rather than a decision
Before · one frame
The same observation qualified inside the fleet console with duration and recovery
After · qualified event

Driver Safety Observation Engine

Know what is happening before it becomes an incident.

Driverion turns supported driver observations into meaningful safety events instead of relying on isolated camera detections.

01

Fatigue Indicators

Eye closure, PERCLOS, blink timing and yawning interpreted over time.

02

Distraction

Sustained off-road attention and qualified distraction evidence.

03

Phone Interaction

Separate phone visibility from meaningful interaction evidence.

04

Head & Gaze

Understand direction, persistence and recovery of driver attention.

05

Driver Visibility

Know when observation quality is degraded instead of inventing conclusions.

06

Real-Time Risk

Combine temporal evidence into advisory, warning and critical states.

Some scenarios shown in the visual library represent planned or integration-dependent event classes. Driverion publishes a capability only when the required sensor and validation path are available.

Temporal Safety Reasoning

From observation to actionable safety intelligence.

Driverion qualifies risk over time. A single frame is evidence, not a verdict.

01ObservationEyes · gaze · head · objects
02Temporal EvidenceDuration · persistence · recovery
03ContextVisibility · quality · policy
04RiskExplainable fusion
05Safety EventReason-coded lifecycle
06Driver AlertQualified escalation
07Fleet AnalyticsReview · trends · sessions

Explainable Safety Events

More than detection. Driverion explains why.

Every qualified event can carry the reason, evidence, duration and recovery state behind the decision.

WARNINGEvent #A7-2041

Sustained off-road attention

Duration
4.2 seconds
Primary reason
Off-road gaze persisted beyond policy threshold
Evidence
Gaze: LEFT · Head: LEFT · Driver visible: YES
Recovery
Attention returned to road
ObservationQualifiedWarningRecovered

Fatigue Monitoring

Fatigue indicators, interpreted over time.

Driverion combines eye behavior, PERCLOS, blink timing, yawning and observation quality into temporal fatigue evidence.

NormalAdvisoryWarningCritical

Eye stateProlonged closure

PERCLOSElevated

ObservationValid

Driver yawning, tracked as an early fatigue indicator
WARNING Yawn · early fatigue indicator
Driver with eyes closed at the wheel, marked as critical fatigue
CRITICAL Microsleep · prolonged eye closure

Driverion presents fatigue indicators and risk states; it is not a medical diagnostic system and does not infer a clinical condition from a single signal.

Distraction Intelligence

Attention, interpreted over time.

Differentiate a glance from sustained off-road attention — and a visible phone from evidence of meaningful interaction.

WARNING

Phone interaction evidence

Phone visible is not the same as phone interaction. Driverion can keep those states separate in the event model.

WARNING

Sustained off-road attention

Qualify attention loss using direction, persistence and recovery rather than one transient frame.

Driver turned toward a passenger, with a facial mesh and a gaze line pointing to the passenger side
ADVISORY

Passenger-side attention

Use cautious, evidence-based language when head and gaze point toward a passenger-side region.

Illustrative road-facing risk interface showing lane geometry, surrounding vehicles and a conflict zone Road & vehicle context · integration roadmap

Road & Vehicle Context

Designed to grow beyond the cabin.

Driverion’s architecture is intended to accept road-facing and vehicle context without turning the driver-monitoring core into a monolith.

  • Road-facing camera context
  • Vehicle and lane observations
  • Speed and telematics inputs
  • Following-distance and trajectory evidence

These road-facing event classes are integration-dependent and are not presented here as validated production capabilities.

Safety Operating Loop

From the cab to the safety team.

A safety event should move from detection to action without becoming a black-box video archive.

01

Detect

Process supported fatigue and distraction signals locally.

02

Alert

Escalate qualified risk states into clear in-cab warnings.

03

Record the Event

Persist structured evidence; video remains policy-controlled and optional.

04

Learn

Review sessions, event history, trends and observation quality.

Driverion Fleet

Fleet safety without the black box.

Bring driver events, session analytics, observation quality and operational context into one review surface.

Driverion admin panel with a live fleet map, driver camera, road camera, vehicle telematics and recent safety events
Safety EventsSession + fleet viewsAttentionDuration-awareFatigueTemporal indicatorsObservation HealthCoverage + latency

Active Event Operations

Review the event, not just the alert.

Safety teams need the driver context, event lifecycle and evidence that made the alert meaningful.

DROWSINESS EVENTHIGH

DriverAssigned driver

VehicleTRK-1047

Duration2.4 s

ObservationValid

EvidenceEye closure · PERCLOS trend

RecoveryEyes reopened

Interface example. Controls illustrate the intended fleet workflow and are not connected to a production backend in this static site.

Reference hardware

One device. Cabin and road.

A driver-facing camera, a road camera and a local warning speaker in a single edge unit. Inference stays in the cab.

Driverion edge camera with a driver lens, a road lens and a warning speaker

Product Family

One safety intelligence layer. Multiple ways to deploy.

Adopt only the layer you need — from embedded software to fleet analytics and reference edge deployments.

DRIVERION SDK

Build driver safety into your product.

For telematics providers, camera manufacturers, fleet platforms and mobility technology teams.

  • Driver monitoring interfaces
  • Event & risk engine
  • Configurable policies
  • Local processing
  • Replay and testing tools
  • Integration APIs
Explore SDK architecture →
DRIVERION FLEET

Turn driver events into fleet safety intelligence.

A fleet-facing layer for session analytics, event review and operational visibility.

  • Safety dashboard
  • Session analytics
  • Event timeline
  • Safety trends
  • Observation health
  • Export and integration
See fleet experience →
DRIVERION EDGE REFERENCE

Driver safety, ready for edge deployment.

Reference hardware and validated-device pathways are part of the deployment strategy.

  • Driver-facing camera
  • Edge inference
  • Local warning
  • Optional connectivity
  • SDK integration
  • Fleet backend connection
Hardware validation in progress

Open / Flexible Platform

Your fleet. Your hardware. Your data.

Open where it matters: architecture, integration boundaries, deployment choices and event transparency.

YOUR CAMERAYOUR EDGE DEVICEYOUR FLEET PLATFORM
DRIVERION
SAFETY INTELLIGENCESDK · Temporal evidence · Risk · Events
DRIVERION FLEETYOUR APPLICATIONENTERPRISE SYSTEMS
Community / Open PlatformCommercial SDKDriverion FleetDriverion EdgeEnterprise Support

Driverion’s public licensing model is intentionally not described as “open source” until an OSI-compatible licence is formally selected and published.

Integration Ecosystem

Don’t replace your platform. Add Driverion to it.

Driverion is designed to become the safety intelligence layer inside the fleet stack you already operate.

Telematics Platforms
Camera Manufacturers
Fleet Technology Providers
Driverion SDKstructured safety intelligence
event.typeevent.severityevent.evidenceevent.durationevent.timestamp
OEM & Tier Suppliers
Research & Engineering
Existing Fleet Applications

Conceptual API fields are illustrative; production SDK syntax will follow the published API contract.

Privacy-First Architecture

Driver monitoring without surveillance by default.

Driver safety should not require continuous cloud video. Driverion is designed around edge processing, derived safety events and explicit recording policy.

01CameraLocal input
02Edge ProcessingDriverion runtime
03Derived EventReason + evidence
04Optional EvidencePolicy-controlled
05Fleet PlatformYour workflow

Edge Processing

Run driver-state intelligence close to the camera.

Recording Policy Control

Continuous recording is not required by the core architecture.

Event-Based Evidence

Store structured safety events rather than turning every second into surveillance data.

Data Ownership

Integrate Driverion into infrastructure and retention policies you control.

Developers

Build with Driverion.

Add driver-state intelligence to cameras, edge devices, telematics platforms and fleet applications.

Conceptual Python example
event = driverion.process(frame)

if event:
    print(event.type)
    print(event.severity)
    print(event.evidence)
Structured event preview
{
  "type": "attention.off_road",
  "severity": "warning",
  "duration_s": 4.2,
  "evidence": ["gaze_left", "head_left"],
  "recovery_state": "attention_returned"
}

Deployment Scenarios

Driver safety intelligence across commercial mobility.

One software architecture, adapted to the operational context and sensor stack of each deployment.

01

Trucking

Long-haul and commercial fleet environments where fatigue and attention risk matter every shift.

02

Bus & Transit

Passenger transport operations that need consistent driver-attention visibility and auditable events.

03

Industrial & Mining

Intended deployment scenarios for heavy vehicles; harsh-environment and NIR validation remain hardware-dependent.

TRADITIONAL CLOSED SOLUTION

Fixed hardware

Opaque event flag

Platform replacement

Video-first workflow

DRIVERION ARCHITECTURE

Hardware-flexible

Evidence + duration + reason

SDK / API integration

Safety-event-first

Questions

Asked before a demo.

Does one closed-eye frame raise an alert?

No. A frame is evidence. Driverion qualifies fatigue and distraction over time, with duration and a recovery state.

Is continuous cloud video required?

No. The architecture is edge-first. Recording stays under an explicit policy you control.

Can it tell a visible phone from phone use?

The event model keeps phone visibility and phone interaction as separate states.

Is this a medical diagnosis?

No. Driverion reports fatigue indicators and risk states. It does not infer a clinical condition.

Do we have to replace our fleet platform?

No. Driverion is meant to sit inside the stack you already run, through the SDK and API.

DRIVERION

Open Intelligence for Safer Fleets.

Detect. Understand. Alert. Improve.

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Demo/contact routing is intentionally left to your production CRM endpoint; this static build does not invent an email address or lead system.