Fatigue Detection
Driver fatigue detection that watches the driver in real time and warns the moment drowsiness or distraction appears, preventing fatigue-related incidents before they happen.
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Alfabeta driver fatigue detection uses an in-cab camera and computer vision to spot the earliest signs of tiredness and inattention while a person is driving or operating equipment. In practice, the system reacts when the driver closes their eyes for more than a couple of seconds or turns their face away from the road ahead, and it immediately raises a warning through the connected system. This is the same drowsiness detection principle that underpins a modern driver monitoring system (DMS): catch microsleep and looking-away behaviour in the seconds before they turn into a crash.
The engine continuously analyses eye closure, blink rate, yawning, head pose and gaze direction to separate a momentary glance from genuine fatigue or phone-driven distraction. Because it runs as fleet safety AI on the edge inside the vehicle, detection and the real-time alert happen on-device and do not depend on a live network connection, so response stays instant even on remote routes or underground. The vision pipeline is built for the road, working across day and night conditions and remaining reliable for drivers who wear glasses or sunglasses.
Every fatigue and distraction event can be logged, timestamped and pushed to fleet dashboards for review, coaching and safety auditing. This turns a single in-cab warning into an evidence trail that safety managers can use to identify high-risk shifts, repeat patterns and drivers who would benefit from rest or retraining. The result is fewer incidents, lower liability exposure and measurable improvement in driver behaviour over time.
Alfabeta offers fatigue detection on a usage-based commercial model: cost is calculated from monthly API calls under an adjustable tiered pricing structure that scales with how frequently the system is used. That makes it practical to start with a pilot fleet and expand as value is proven, without a large fixed commitment up front. The technology fits alongside existing telematics and AIoT deployments rather than replacing them.
Drowsiness Detection
Flags microsleep, prolonged eye closure of more than a couple of seconds and frequent yawning, catching fatigue as it sets in rather than after an incident. This is the core of the driver monitoring system, tuned to react before a driver loses control.
Distraction Monitoring
Detects when a driver looks away from the road, uses a phone or drives inattentively by tracking head pose and gaze. The moment the face is no longer facing forward, the driver can be alerted at once.
Instant In-Cab Alerts
Delivers audible and visual warnings the instant risky behaviour appears, giving the driver time to refocus or pull over. Real-time alerting is what converts detection into prevented incidents.
Day And Night Operation
Works in low light and bright glare, and stays accurate for drivers wearing glasses or sunglasses, using infrared-ready vision. Coverage holds across long shifts that span dawn, dusk and night driving.
Edge Processing
Runs on-device inside the vehicle so detection and alerts respond in real time without depending on connectivity. This keeps the fleet safety AI working on remote highways, in tunnels and across sites with no reliable signal.
Event Logging And Reporting
Records every fatigue and distraction event with a timestamp for fleet dashboards, coaching sessions and safety audits. Aggregated history reveals high-risk shifts and repeat patterns so managers can act before an accident occurs.
Frequently asked questions
How does the system tell real fatigue apart from a normal blink or a quick glance?
It does not react to a single blink. The engine tracks eye closure duration, blink rate, yawning and head pose over time, and only raises an alert when eyes stay closed for more than a couple of seconds or the face turns away from the road for a sustained period. That threshold-based approach is what keeps microsleep and genuine distraction distinct from ordinary driving movements and limits false alarms.
Does it work at night and for drivers who wear glasses or sunglasses?
Yes. The vision pipeline is infrared-ready and built for day and night conditions, including low light and glare. It is designed to keep detecting eye state and gaze accurately for drivers wearing prescription glasses or sunglasses, which is essential for round-the-clock fleets and shift work.
Does the system need an internet connection to raise an alert?
No. Detection and the in-cab warning run on the edge, on-device inside the vehicle, so the alert fires in real time regardless of connectivity. A network link is used only to sync logged events to fleet dashboards for later review, not to trigger the warning itself.
How is fatigue detection priced?
It uses a usage-based model. Cost is calculated from monthly API calls under an adjustable tiered pricing structure that scales with usage frequency, so you can start with a small pilot fleet and expand as the safety benefits are proven, without a large fixed upfront commitment.
Who typically deploys driver fatigue detection?
It is most common in commercial fleets and logistics, long-haul trucking, public transport, and mining or heavy-equipment operations where operator alertness is safety-critical. The same technology also supports pilots, control-room staff and factory workers on repetitive or long-duration tasks.