AI-Powered Dashcam

MettaX AI Dashcam

Advanced AI-powered dashcam with ADAS (Advanced Driver Assistance System), DMS (Driver Monitoring System), and real-time video streaming for comprehensive fleet safety.

  • AI-powered driver behavior detection
  • Forward collision & lane departure warnings
  • Drowsiness and distraction monitoring
  • 4G LTE live video streaming

Technical Specifications

Complete specifications for the MettaX AI Dashcam

Technical Specs

  • Video Resolution1080P Full HD
  • AI ProcessorDual-core Neural Engine
  • Network4G LTE Cat 4
  • Storage64GB/128GB SD Card
  • Dual CameraRoad + Driver facing
  • Night VisionIR LED for low light

AI Features

  • Forward Collision Warning (FCW)
  • Lane Departure Warning (LDW)
  • Driver drowsiness detection
  • Phone usage detection
  • Smoking detection
  • Seatbelt detection

Ideal Use Cases

The MettaX AI Dashcam is perfect for these applications

Commercial Fleets

Monitor driver behavior and reduce accidents across your entire fleet.

Public Transport

Enhance passenger safety with real-time driver monitoring and alerts.

Delivery Services

Protect deliveries with video evidence and improve driver accountability.

Ready to Enhance Fleet Safety?

Contact our team to learn how the MettaX AI Dashcam can reduce accidents and improve driver behavior.

Practical Guidance for Better Fleet Performance

TrackAlways combines device reliability, real-time visibility, and actionable reports to help transport teams reduce delays, improve safety outcomes, and manage operational costs with confidence across East Africa.

Teams typically implement clear performance goals, automate exception alerts, and review weekly KPI trends to improve route compliance, fuel efficiency, maintenance planning, and incident response.

For organizations operating mixed fleets, measurable gains usually come from combining live tracking with policy-based alerts and weekly operational reviews. Dispatchers can reduce route deviations by comparing planned versus actual journeys, while operations teams use idle-time and stop-duration insights to improve turnaround performance. Maintenance teams also benefit from scheduled reminders and exception reporting, helping them detect recurring faults early and reduce unscheduled downtime.

Implementation is most effective when teams phase rollout by business unit, train supervisors on dashboard workflows, and define ownership for each KPI. Typical checkpoints include fuel variance controls, speeding and harsh-event coaching, geofence compliance, and incident response timelines. With consistent reporting cadence, companies can improve service reliability, strengthen customer trust, and scale operations with lower risk.

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