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AI-powered real-time driver behavior monitoring that protects lives, reduces accidents, and optimizes fleet performance with cutting-edge computer vision technology.
Multi-camera setup with deep learning models analyzing facial landmarks, gaze direction, and head pose in real-time.
Sub-200ms detection-to-alert pipeline ensures immediate response to unsafe driver behaviors before incidents escalate.
Every driving event is geo-tagged in real-time for fleet-wide incident mapping and precise route analysis.
Centralized management platform with live feeds, historical analytics, and downloadable compliance reports.
Explore the advanced engineering behind the Nevon DMS Camera.
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Monitors PERCLOS (percentage of eye closure) and micro-sleep events. Triggers escalating alerts before critical fatigue levels are reached.
Tracks gaze direction and head orientation to identify when a driver looks away from the road or engages in distracting behavior.
Automatic 30-second clip capture (15s pre-event, 15s post-event) for every triggered alert with encrypted cloud backup.
Every alert is geo-tagged in real-time. Fleet managers get instant push notifications with location, driver ID, and incident type.
Driver scorecards, incident heatmaps, trend analysis, and exportable CSV/PDF reports for full fleet compliance oversight.
Vision-based detection of seat belt usage and face mask compliance — ensuring regulatory adherence without manual supervision.
Our compact, rugged DMS camera is engineered for in-cabin deployment. Featuring IR night vision, wide-angle lens, and on-device edge AI processing — it works in complete darkness and extreme temperatures.
The dms-dashboard provides a comprehensive, real-time overview of fleet safety and operational performance. It presents key metrics like active devices, registered drivers, and daily incidents, allowing administrators to monitor the entire transportation ecosystem at a glance.
High-resolution IR cameras mounted in the cabin continuously capture the driver's face and eyes — even in complete darkness.
On-device edge AI runs real-time inference using our proprietary neural network, classifying driver state within milliseconds — no cloud latency.
Unsafe behaviors trigger in-cabin audio/visual alerts instantly while event data and video clips are simultaneously pushed to the cloud.
Fleet managers access live feeds, receive push notifications, and review incident reports and driver scorecards from any device.
Watch how our AI-powered Driver Monitoring System detects drowsiness, distraction, and unsafe behaviors in real-time.
Our intelligent system continuously monitors driver behavior, detecting critical events like drowsiness, distraction, phone usage, smoking, and seatbelt violations to ensure safety on the road.
dms-alert
Seatbelt Detection
Smoking Detection
Phone Usage Detection
Drowsiness Detection
dms-alert
Seatbelt Detection
Smoking Detection
Phone Usage Detection
Drowsiness Detection
Long-haul truck operators use DMS to combat fatigue on overnight routes. Reduced accident rates and lower insurance premiums deliver ROI within months.
Bus and transit authorities deploy DMS for passenger safety compliance. Real-time alerts keep drivers accountable across city-wide fleets.
Platforms integrate DMS to ensure quality standards. Automatic scoring feeds directly into driver ratings and platform safety metrics.
Join hundreds of enterprises who trust Nevon AI for their advanced electronics and smart product needs.