GoatAI · Driver Fatigue Monitoring System

Fatigue kills in mining. Detection can stop it.

DFMS is a purpose-built driver fatigue monitoring platform for Indian open-pit mining — multi-modal detection, DGMS compliance data, and fleet management integration.

Built for open-pit mining haul fleets — and extending to in-plant heavy vehicles and industrial crane cabins.

65%

of haul truck accidents linked to fatigue or distraction

Caterpillar

226

mining fatalities in India in 5 years (coal & lignite)

DGMS

53

fatalities in both 2020 and 2024 — the pattern is not improving

DGMS / Rajya Sabha, Mar 2025

Multi-Modal Detection

Three signal streams. One risk score.

No single sensor is sufficient for operational mining conditions. DFMS combines camera, physiological, and vehicle behaviour data into a unified fatigue risk index that is robust to individual sensor failures and mining-specific interference.

Camera + Vision AI

NIR camera tracks PERCLOS, blink frequency, head pose, and yawn events frame-by-frame. Operates in dust, low-light cab interiors, and through PPE.

Physiological Signals

EEG, HRV, ECG, and PPG from wristwatch-format wearables. Highest biological accuracy for pre-shift risk scoring and in-shift fatigue accumulation.

Vehicle Behaviour

Steering deviation, braking events, and speed variance. Lowest cost to deploy, but high latency — detects impairment only once it is already acute.

Multi-Modal Fusion

A unified risk model that combines all three streams. PERCLOS + HRV + vehicle context gives a risk score that no single sensor can produce alone.

Context matters as much as detection. A PERCLOS threshold breach at hour two of a day shift carries different operational weight than the same reading at hour ten of a night shift. DFMS weights fatigue signals against shift hour, ambient temperature, route profile, and pre-shift biometric data where available.

DGMS Compliance

Built for Indian mining's regulatory direction.

The Directorate General of Mines Safety (DGMS) recorded 226 fatalities in Indian coal and lignite mines over five years, with 53 in both 2020 and 2024. Vehicle operations in active mining zones are consistently implicated. Conventional safety protocols are not improving the pattern.

DFMS is designed to produce both operationally useful real-time signals and a regulatory-ready safety evidence base — treating those as one programme, not two.

Source: DGMS Annual Report; Rajya Sabha, Mar 2025

Real-time alert logging

Every fatigue event timestamped, geotagged, and stored against driver ID

Shift-level risk reports

Automatic end-of-shift summaries for dispatch and safety managers

Incident investigation data

Camera and sensor data retained for post-incident review and regulatory reporting

Fleet-wide trend analysis

Aggregate fatigue patterns by route, shift type, and operator cohort

Talk to us

Deploying to a mining fleet?

We work with mining operators, OHS teams, and fleet managers to scope detection requirements, existing system integration, and DGMS compliance programme design.

business@goatai.io