[ Driver monitoring system ]

A Driver Monitoring System that Sees the Risk

AI powered in cab cameras detect signs of fatigue and distraction as they happen, alert drivers in real time and capture supporting footage for review, helping UAE fleet operators identify driving risks and take action earlier.

Driver-facing AI camera mounted at the top of a truck windscreen, the road ahead at dusk

How it works

From Drowsiness Detection to Action

  1. 01

    The camera watches the driver, not the road only

    A driver facing camera analyses driver behaviour while the vehicle is in motion, with supported AI detection processed on the device rather than continuously streaming video.

  2. 02

    A risk is detected as it happens

    Eye closure, head position, phone use and other supported behaviours are recognised in the moment, not found later in a review.

  3. 03

    The driver is alerted first

    An in cab alert gives the driver an opportunity to recognise and correct risky behaviour immediately, helping reduce the likelihood of an incident.

  4. 04

    The event reaches the right person with its footage

    The event, its severity and the video are held together, so a manager reviews what happened instead of taking a guess from a data point.

What it detects

The Behaviours that Precede an Incident

  • Fatigue

    Detect signs of fatigue through supported indicators such as eye closure, blink patterns and head nodding, helping identify potential drowsiness without relying solely on driver self reporting.

  • Distraction

    Detect sustained attention away from the road, including distraction associated with mobile devices, in cab screens and other activities.

  • Phone use

    Handling a phone while the vehicle is moving, recognised as its own event so it can carry its own policy.

  • Smoking and seatbelt

    Supported in cab standards, each with its own rule for when it triggers, who is told and how severity escalates.

See every detection
Three detection states side by side: eyes on the road, eyes closed, and eyes down at a handset

Additional features

  • Fatigue Detection

    Eye closure and head position while the vehicle is in motion.

  • Distraction Detection

    Sustained attention away from the road ahead.

  • Seatbelt Detection

    Non use whenever the vehicle is moving.

  • Harsh Driving Events

    Braking, acceleration and cornering above your thresholds.

  • Forward Collision Warning

    Closing distance on the vehicle in front.

  • Lane Departure

    Drifting out of lane without an indicator.

  • Tailgating

    Following distance held below the safe gap.

  • Live Camera View

    Look at any connected vehicle now, not after the fact.

  • Incident Investigation

    The footage, the data and the timeline in one record.

  • Driver Coaching

    Turn a repeated event into a conversation with evidence.

  • Safety Analytics

    Which behaviours, which vehicles, which depots, over time.

  • Configurable Policies

    Set what triggers, who is alerted and how severity is handled.

Seen, Then Acted On

  • Truck cab at dusk, the driver at the wheel with the in-cab camera above the windscreen

    In the cab

    The driver hears it before it becomes an incident

  • A drowsiness event in the console with its in-cab footage, ready to assign for coaching

    In the office

    The event arrives with its footage attached

  • A coaching conversation at the depot, the recorded event playing on a laptop

    With the driver

    A coaching conversation that starts from evidence

Frequently Asked Questions

What a driver monitoring system does and what it does not.

Talk to us about your fleet
  • What is a driver monitoring system?

    A camera and software system that watches for driver behaviours associated with incidents, particularly fatigue and distraction. It can alert the driver in the moment and retain footage so the event can be reviewed.

  • Does it record the driver all the time?

    The camera can analyse driver behaviour while the vehicle is in motion. Recording and retention depend on the camera configuration and enabled features, including event-based footage capture and configurable retention settings.

  • Is the driver alerted, or only the manager?

    Where configured, the driver receives an immediate in-cab alert to help them recognise and correct risky behaviour. Notifications to fleet or safety managers can be configured according to event type and severity.

  • Will it flag things that are not real?

    AI detection can occasionally flag an event that requires further review. Configurable thresholds and supporting footage help safety teams assess what happened, confirm or dismiss events and decide whether further action is needed.

  • Does it work with the rest of the platform?

    Yes. Detection comes from Vision360, speeding is measured against your Drive360 speed rule, and coaching and analytics run on the same record, so one event does not live in three places.

  • Does it need a driver facing camera?

    For fatigue and distraction, yes: those are recognised from the driver's face and head position. Road facing detections such as forward collision, lane departure and tailgating do not.

See the Risk While There Is Still Time to Act

From busy urban roads in Dubai and Abu Dhabi to long distance journeys and industrial transport across the Emirates, Vision360 helps UAE operators identify signs of fatigue and distraction earlier, giving drivers and safety teams the information they need to take action.