Solution / Transport Intelligence

Driver Monitoring System (DMS)

In-cabin AI monitoring for driver fatigue, distraction and configured unsafe behavior with real-time feedback.

Business context

What this capability solves

Driver Monitoring System (DMS) converts fragmented operational signals into an accountable digital workflow so teams can detect risk earlier, optimize resources and improve safety or productivity without losing human operational control.

EBP Integra delivery principle

Technology is implemented as an operating capability: architecture, integration, governance, assurance, people, procedures and measurable outcomes are designed together.

Deep-dive capabilities

Capability model

Modular building blocks allow the scope to start with a focused pilot and expand into an enterprise operating model.

Fatigue / Drowsiness

Detect configured indicators of fatigue.

Distraction

Detect attention deviation or phone-use patterns where supported.

Seatbelt / Presence

Configured compliance and driver presence.

Camera Integrity

Detect blocked/altered camera condition where supported.

Voice Alert

Provide immediate driver feedback.

Event Evidence

Send event metadata/clip for review and coaching.

Reference architecture

How the capability fits together

Final topology, control placement and deployment model are validated during discovery and detailed design.

Field / Asset Layer

Vehicles, equipment, sensors, cameras, tags, infrastructure and operational systems.

Connectivity & Edge

GNSS, industrial wireless/wired networks, gateways and local processing.

Analytics Platform

Telemetry normalization, event fusion, AI/computer vision, scoring and rules.

Operations Layer

Dispatch, command center, workflow, alerts, enterprise integration and management reporting.

Controls & governance

Authorized and purpose-bound data collection
Safety-first operational boundaries and human override
Role-based access and asset ownership
Data-quality and calibration controls
Event/audit history and investigation evidence
Cybersecurity for devices, edge and enterprise integration

Priority use cases

Long-haul fleet
Industrial transport
Passenger safety
Remote operations

Key deliverables

Operational/process assessment
Reference architecture
Pilot design/configuration
Integration and data map
SOP / escalation model
KPI baseline and scale roadmap

Integration considerations

Driver camera
Telematics
Fleet platform
Dispatch
Training
Privacy governance

Implementation

Phased delivery

Each phase ends with evidence, acceptance criteria and a decision gate before broader scale-out.

1. BaselineMap assets, routes/process, data, risk and current KPIs.

2. InstrumentConnect selected devices/data and validate data quality.

3. OperationalizeConfigure analytics, alerts, workflows and dashboards.

4. ScaleExpand fleet/site coverage, tune models and institutionalize performance management.

Outcome and KPI framework

DMS event reductionAlert responseDriver coaching closureCamera availability