Driver alertness monitoring system (DMS)

Detect signs of reduced alertness in time

In open-pit mines, long shifts, repetitive haul routes, night activity and operational pressure can affect drivers' focus. Bistun's DMS uses an in-cab camera and intelligent image analysis to monitor signs related to drowsiness and distraction, and alerts under defined conditions.

The system is not meant to replace driver judgment or safety procedures; it is a supporting layer for timely alerts, event logging and more informed decisions by the HSE team.

Driver alertness monitoring in the dump truck cab
Eye, head and gaze analysisReal-time in-cab alert
  • In-cab monitoring
  • Real-time alert
  • Event logging
  • HSE dashboard
  • Safety trend analysis
Why does it matter?

Why does alertness monitoring matter in mining operations?

A dump truck may drive a similar route dozens of times in one shift. Repetition, changing light, vibration and working hours can set the stage for reduced attention. In such conditions, relying on occasional supervisor observation or post-incident reports is not enough to understand risk patterns.

How DMS helps

  • Identifying early signs in the eyes, head and attention
  • Alerting the driver directly in the cab
  • Reviewing patterns across shifts, machines and areas
  • Following up on corrective action, training and fatigue management
How it works

What is DMS and how does it work?

DMS stands for Driver Monitoring System; an in-cab camera captures the required image and algorithms analyze indicators of eye state, face, head direction and attention.

  1. 1

    Image capture

    Capturing the required driver data with a suitable cab camera.

  2. 2

    Local analysis

    Evaluating indicators on Edge-architecture processing hardware.

  3. 3

    Event detection

    Matching observed patterns against thresholds and settings.

  4. 4

    Alerting

    Audible alert or other supported in-cab methods.

  5. 5

    Logging and transfer

    Storing the event and sending permitted data to the management software.

  6. 6

    Review and improvement

    Analyzing the event in HSE and following up on corrective actions.

Cycle: Suggested cycle: detect ← alert ← log ← review ← corrective action ← measure result

Indicators

Which indicators does the system assess?

Detection accuracy depends on camera angle, lighting and face coverage.

Eye closure and PERCLOS

An indicator based on the proportion of time the eyes are closed within a window; it can be one input to fatigue analysis, but it is not a medical diagnosis on its own.

Blinking, yawning and head posture

Blink patterns, frequent yawning and unusual changes in head direction or position, on supported equipment.

Gaze direction and distraction

Prolonged attention outside the expected working area; judged against the operator's actual tasks, since looking at a mirror or control equipment is not distraction.

Signs related to brief sleep

Some eye and head patterns coincide with a sharp drop in alertness, but the occurrence of “microsleep” is not certain in all conditions and must be tested in a pilot.

Real-time alert

From detection to action

The first recipient of the alert is the driver. The alert type and level are set according to machine conditions, operational sensitivity, the false-alarm rate and approved HSE procedures.

Alert levels

Awareness levelLevel 1

Defined, short-term sign

ActionInitial in-cab alert
Follow-up levelLevel 2

Persistence or recurrence of the event

ActionMore specific alert and logging in the system
Escalation levelLevel 3

Designated events

ActionReport to the safety officer or supervisor

Note: A DMS alert is not an order for the machine to stop suddenly; the safe response must be defined according to the mine's operating procedures and driver training.

HSE dashboard

HSE management dashboard: turning events into analysis

Depending on the deployed version's features and the data that can be retrieved, the dashboard gives authorized users an integrated view of fleet alerts and events.

Sample management question: do specific alerts increase toward the end of a shift? To answer correctly, the event rate must be interpreted alongside actual operating hours and the number of active machines.

On the dashboard

  • Events by time, shift and machine
  • Number and type of alerts and their trends
  • Event recurrence and follow-up status
  • Event details: time and machine ID
  • Before-and-after comparison of corrective action
Indicators

Key DMS monitoring indicators

Events per shift
Events logged during the shift, by type.
Event rate per operating hour
A fairer comparison of machines or shifts with different activity durations.
Recurring alert rate
Identifying recurrence patterns over defined periods.
Time distribution of alerts
Hours or days with a higher concentration of events.
Event review time
The interval from event logging to review by an authorized person.
Corrective action status
Logging follow-up, outcome and effectiveness review.

Note: An increase in the number of alerts does not always mean worse safety; changes in settings, the number of active devices or detection quality also affect the statistics.

Safety culture

From alert to fatigue management program

DMS delivers the most value when used alongside fatigue assessment, shift scheduling, adequate rest, training and safe reporting.

  1. 1

    Review the evidence

  2. 2

    Examine the event context

  3. 3

    Non-punitive conversation with the driver

  4. 4

    Define a proportionate action

  5. 5

    Measure the trend after action

Mine environment

Designed for mining environments

DMS performance depends on hardware selection, camera placement and testing in real conditions; claiming identical performance in all cabs and lighting conditions without valid testing is not credible.

Daylight and night shift

Selecting a suitable camera and evaluating performance in darkness or changing light.

Vibration and dust

Stable installation, connector protection and compliance with environmental specifications.

Different cabs

Reviewing field of view, driver position and obstructions such as the steering wheel and glass.

Glasses and personal protective equipment

Assessing the effect of driver gear on detection quality.

Limited connectivity

Local processing and the event-transmission policy during network outages.

Edge and privacy

Edge processing, privacy and driver trust

In an edge-processing architecture, most of the analysis runs on the device itself, and the in-cab alert does not depend on a constant server connection; however, central transfer and display of events depend on the communication infrastructure. It must be clear what data stays only on the processing device, which events are stored, and what information is transmitted.

The goal of deployment is to manage safety risk, not unlimited surveillance or automatic use of every alert for disciplinary decisions. The data-use policy must be explained to drivers before operation begins.

Data protection principles

  • A specific, authorized purpose for data collection
  • Minimizing video data and retention period
  • Separate access levels for safety, supervisor and system administrator
  • Logging of access and changes
  • Handling false alerts
  • Compliance with regulations and contractual requirements
Machines

Which machinery can DMS be evaluated on?

Dump truck and haul truck

Long haul routes, night shifts and repeated trips.

Loaders and loading equipment

Allowing for frequent glances around the loading area.

Graders and bulldozers

Suitable camera positioning and performance in vibrating cabs.

Light vehicles and support

Drivers of vehicles traveling on mine roads.

Contractor fleets

By defining data ownership, review responsibility and access rights.

Ecosystem

Where DMS fits in the smart mining ecosystem

Once compatibility and integration are confirmed, viewing driver, location, shift and operations data together helps review the context of an event; this connection is not a default part of every project.

Deployment path

Suggested DMS deployment stages at a mine

  1. 1

    Safety needs assessment

    Risks, fleet type, number of shifts and monitoring goals.

  2. 2

    Cab and infrastructure survey

    Camera position, power, communications, lighting and installation constraints.

  3. 3

    Equipment selection and installation

    Safe installation without obstructing the driver's view or performance.

  4. 4

    Calibration

    Adjusting angle, sensitivity and alert scenarios.

  5. 5

    Operational pilot

    Day and night testing, recording correct and false alerts.

  6. 6

    Developing HSE procedures

    Review owner, alert response, data protection and training.

  7. 7

    Phased rollout

    Deployment across more of the fleet after the pilot is accepted.

  8. 8

    Results evaluation

    Comparing indicators and refining settings at defined intervals.

Pilot evaluation: Before a wide installation, agree on pilot acceptance criteria: detection rate for defined events, false alerts, alert timing, performance at night and with glasses, device stability, the alert's effect on the driver and the quality of management reports.

Fleet assessment and DMS implementation estimate

Cost is determined by the number of machines, cab type, cameras, data transfer method, central dashboard, installation, training and support.

Frequently asked questions

Frequently asked questions

Does DMS detect drowsiness with certainty?

No. The system analyzes certain indicators related to reduced alertness based on imagery and algorithms; the result is not equivalent to a medical diagnosis or a guarantee of accident prevention.

Does the in-cab alert stay active if the internet is lost?

If the device has local processing and alerting, the alert does not depend on a constant connection. Transfer to the dashboard and synchronization depend on the architecture and equipment.

Does it work at night?

Depending on the camera and equipment, low-light operation is possible, but it must be evaluated in a real night-time pilot.

Can a driver wearing glasses be monitored?

Performance depends on the type of glasses, viewing angle and camera technology, and must be tested.

Are all driver images stored or transmitted?

Not necessarily. Storage and transmission depend on project settings, hardware capability and privacy policy, and are defined explicitly.

How does DMS differ from ADAS?

DMS monitors the driver's state; ADAS mainly monitors conditions around the vehicle. The two are complementary.

Are events connected to Bismart or Bitatracker?

If data interfaces are available and technical compatibility is confirmed, an integration can be designed.

Who should review the alerts?

This is defined in the mine's procedures; usually the HSE officer or an authorized supervisor with controlled access.

How is the DMS price determined?

A tailored estimate is provided after reviewing the machinery types, number of devices, software features, and installation and support requirements.

Your mine could be our next project

Our consultants are ready to answer every question on your path to a smarter mine.

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