Next-Gen Fleet Safety Solution Powered by AI Video Telematics

This is the fundamental limitation of dashcams that simply record – drivers adapt their behaviour around the camera, not because of it. FMSi’s AI video telematics works differently. The system detects risk in real time and delivers an immediate in-cab alert – an audible or visual notification, or seat vibration – the moment a risky behaviour is detected, whether that’s yawning, distraction, mobile phone use, or unsafe following distance. The correction happens in the moment, not in a debrief days later. Over time, consistent in-cab coaching shapes behaviour at the habit level, not just when the driver thinks someone is watching the footage.

FMSi’s Driver Fatigue Camera detects fatigue-related behaviours – yawning, eyes closing, head nodding, and microsleep indicators – with over 98% accuracy, using the same advanced computer vision algorithms applied to other risk detection. Critically, the system intervenes before a fatigue-related incident occurs, not after. When early fatigue signals are detected, the driver receives an immediate in-cab alert prompting them to take a break. The event is simultaneously flagged to the operations team, giving supervisors the visibility to intervene on long-haul routes where a fatigued driver may push through rather than self-report.

No – and this flexibility is a core part of how FMSi approaches AI video telematics deployments. The system supports configurations from a single dashcam through to a full 360° setup with up to 8 cameras via the MDVR (Mobile Digital Video Recorder), covering road-facing, driver-facing, cabin, passenger, side, rear, and cargo views. Each vehicle can be configured according to its specific operational risk profile. A passenger transport vehicle may require full cabin coverage for duty of care compliance, while a pickup serving ANDOC may only need a driver-facing road camera. All camera feeds integrate into the same FMSiTrack platform, so the operations team manages every configuration from one place.

Data cost is a legitimate concern that is frequently underestimated when deploying video telematics at scale. FMSi’s platform includes a dedicated Quota Consumption tool that gives fleet managers granular control over how data is used across the fleet. Limits can be set per vehicle for video downloads, live streaming, playback, and automated incident uploads – separately. Critically, the system only uploads footage automatically for flagged incidents rather than transmitting continuous streams, which dramatically reduces data consumption without sacrificing visibility of the events that matter. This means large fleet deployments remain commercially viable without unexpected data overruns.

FMSi’s V-IVMS platform is specifically designed for this purpose. Rather than leaving managers to manually review hours of footage, the system surfaces the highest-priority incidents automatically – ranked and categorised by risk type and severity. Footage can be pulled directly into coaching sessions, giving drivers visual evidence of their own behaviour rather than a subjective verbal account. Driver scorecards track improvement over time against specific KPIs, so coaching conversations are structured around measurable progress. The system also enables customizable safety policies – meaning the behaviours flagged and the alert thresholds applied can be calibrated to your specific operational standards, not a generic default.

No. FMSi’s AI video telematics is fully integrated within the FMSiTrack platform alongside GPS tracking, IVMS data, driver identification, journey management, and all other fleet data. Camera footage, AI-detected events, vehicle location, and driver behaviour scores are all visible within the same interface – not separate logins or disconnected dashboards. This means when an incident alert is triggered, the operations team sees the footage, the GPS position, the driver identity, and the journey context simultaneously. That unified view is what transforms AI video from a recording tool into an operational decision-making tool.