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Ctrack
AI-powered fatigue detection camera system identifying drowsy driving behaviour in real time
AI-powered fatigue detection

Driver fatigue monitoring system with AI detection

Ctrack delivers real-time driver fatigue monitoring through AI cameras that detect eye closure, yawning, and head position. This drowsy driver detection and fatigue monitoring system with instant in-cab alerts stops micro-sleeps, not just reports them. Advanced driver monitoring helps fleet managers protect your drivers, manage driver fatigue and driver distraction proactively.

52% crash reduction (FMCSA/VTTI) Real-time in-cab alerts Australian compliance ready

Trusted by safety-first Australian fleets

Mammoet
Penske
Seadrill
Wicks Parker
Australia Post
Tasmanian Government
Highway Rentals
TCA approved
24/7 support team
Australian hosted data

Driver fatigue is a serious safety risk for commercial fleets.

Fatigue detection systems address one of the highest-risk safety gaps in heavy vehicle operations. Fleet managers need effective strategies to mitigate driver fatigue proactively. When you rely on post-incident reviews, the damage has already happened. Drowsy driving and distraction detection behind the wheel pose significant road safety challenges across Australia.

20% of heavy vehicle accidents

Fatigue contributes to 20% of heavy vehicle road accidents in Australia (NHVR). These fatigue-related incidents lead to injuries, insurance claims, and regulatory investigations that cost businesses millions. Reaction times slow significantly when a driver is fatigued.

4-6x higher collision risk from drowsiness

Drowsy driving increases collision risk by 4 to 6 times. Micro-sleeps of just 2-3 seconds at highway speeds mean drivers travel up to 100 metres completely blind. Distracted driving combined with signs of drowsiness or distraction create operational risk for fleet operators.

Reactive detection fails to mitigate risk

Traditional fatigue management relies on scheduled rest breaks and post-trip reviews. Real-time AI detection with in-cab alerts proactively prevents accidents, rather than documenting them after the fact. Eye-tracking and head position monitoring detect early signs of driver fatigue.

Fatigue and distraction detection monitoring system.

Ctrack uses advanced computer vision for driver monitoring and alertness tracking in real-time. This fatigue monitoring system detects signs of fatigue including micro-sleeps, driver distraction, and drowsiness, then triggers instant audible and visual alerts to wake the drowsy driver before incidents occur. Optimised for Australian conditions, the system protects your drivers and reduces fatigue-related driving accidents with AI-powered camera technology.

Eye closure detection

Monitors PERCLOS (percentage eye closure) to detect drowsiness and micro-sleeps in real time.

Yawning detection

Identifies frequent yawning patterns that signal early-stage fatigue before critical drowsiness sets in.

Head position monitoring

Tracks head pose and nodding movements to detect loss of alertness and distraction.

Real-time in-cab alerts

Instant audible and visual warnings to wake drivers and prompt corrective action immediately.

Ctrack AI fatigue detection dashboard

How our driver fatigue management system works.

Ctrack combines in-cab AI cameras with cloud-based analytics to detect signs of drowsiness, alert drivers, and report fatigue events across your fleet. This management system helps fleet operators mitigate risk and coach drivers to enhance safety for commercial vehicles.

1

AI camera monitors driver

In-vehicle edge AI cameras mounted in the cabin continuously track facial features, eye closure, yawning frequency, and head position using computer vision algorithms.

2

Instant in-cab alert triggers

When fatigue indicators exceed thresholds, the system delivers immediate audible warnings and visual alerts to wake the driver and prevent micro-sleeps.

3

Event video + reports

Fatigue events are logged with timestamped video clips and uploaded to the Ctrack platform. Safety teams can review patterns, coach drivers, and generate compliance reports.

TECHNICAL DETAIL

Edge AI processing for zero-latency alerts.

Ctrack processes fatigue detection on-device using edge AI chips integrated into in-cabin dash cams. This means alerts trigger within milliseconds, without waiting for cloud processing or network latency. Video evidence and event metadata upload separately for reporting and coaching, providing additional safety documentation.

Alert latency
<200ms
Near-instant in-cab response
False positive rate
<5%
Accurate, validated alerts

Boost fleet safety with fatigue detection technology.

AI-powered fatigue intervention delivers measurable driver safety improvements. Telematics solutions combined with dashcams enable fleet management to identify signs of driver fatigue and drowsiness detection. Use peer-reviewed accuracy benchmarks and real customer data to build your driver fatigue management plan.

Crash reduction
52%
Crash and safety event reduction with video coaching (FMCSA/VTTI).
Driver exoneration
63%
Drivers exonerated with road-facing camera footage (ATRI).
Safety benchmarks

Expected outcomes

Use these industry benchmarks to frame your pilot program. Validate against your own baseline KPIs before full fleet deployment.

Crash rate reduction
30-50%
Insurance claims reduction
25-40%

The Ctrack Advantage

One platform. Three pillars. Complete fleet intelligence.

Predict

Foresight that keeps your fleet moving. Anticipate maintenance, optimise routes, and reduce costs before issues arise.

Protect

AI-powered safety without surveillance. Real-time fatigue detection, driver coaching, and claims exoneration.

Comply

Built-in compliance that scales. Centralised records, audit-ready reports, and continuous regulatory alignment.

Managing driver fatigue: questions answered.

Practical answers for safety managers, operations teams, and procurement decision-makers.

Driver fatigue detection uses AI-powered cameras to monitor facial features, eye closure (PERCLOS), yawning, and head position. When drowsiness indicators are detected, the system delivers instant in-cab audible and visual alerts to wake the driver and prevent micro-sleeps. Event video and metadata are logged for safety review and coaching.
Ctrack's AI fatigue detection uses edge AI processing to monitor eye closure, yawning, and head position in real time. The system delivers alerts within milliseconds of detecting unsafe behaviour. Research from FMCSA/VTTI shows video coaching programmes reduce crashes and safety events by 52%.
Alerts trigger when the AI camera detects prolonged eye closure (PERCLOS above threshold), frequent yawning, head nodding, or other drowsiness indicators. Thresholds are configurable per fleet to balance sensitivity and driver tolerance. Alerts are audible and visual to wake drivers immediately.
Yes. Ctrack uses infrared (IR) cameras that work in zero-light conditions. The system can detect eye closure and head position through most sunglasses, though very dark or reflective lenses may reduce accuracy. We recommend testing during your pilot if drivers wear heavy eyewear.
Fatigue detection is not mandatory for all Australian fleets, but it is a recognised control under Chain of Responsibility (CoR) laws. Heavy vehicle operators must manage fatigue risks through policy, hours of service compliance, scheduling, and monitoring. AI fatigue detection provides evidence-based proof of proactive safety controls for compliance and duty of care obligations.
Yes. Every fatigue event is logged with timestamped video clips and metadata (location, speed, driver ID). Safety teams can review events in the Ctrack platform, filter by driver or severity, and use the footage for coaching. Reports export for insurance, compliance, and incident investigations.
Implement clear workplace policies, notify drivers about monitoring, and limit access to authorised safety personnel. Ctrack supports role-based permissions, automatic video retention schedules, and privacy zones. Use the system for legitimate safety purposes (fatigue prevention, incident investigation) to meet Australian privacy obligations.

See Ctrack in action.

Book a demo or speak to our team about your safety priorities.