Protect Your Team in Any Location

Our dual-camera dashcams use AI algorithms to monitor driver behavior in real-time. The driver-facing camera tracks eye movement, head position, and facial expressions to detect signs of drowsiness like yawning, eye closure, or head nodding. When fatigue is detected, the system immediately alerts the driver with audio and visual warnings before an incident can occur.

The AI safety system detects multiple forms of distracted driving including phone use, eating, smoking, and eyes off the road. When the driver-facing camera identifies these behaviors, it triggers real-time alerts to refocus the driver’s attention. All events are logged with video clips for coaching and safety program review.

Dual-camera dashcams feature two lenses: one facing the road to capture driving conditions and potential incidents, and one facing the driver to monitor behavior and alertness. Both cameras record continuously, providing complete context for any safety event. The AI processes the driver-facing footage to generate real-time safety alerts.

Yes. All AI-detected safety events are saved with video clips that can be reviewed for coaching sessions. Managers can see exactly what triggered an alert and use the footage to have constructive conversations with operators. This data feeds into driver scorecards to track improvement over time.

AI safety monitoring provides proactive intervention before accidents happen. By alerting drowsy or distracted drivers in real-time, the system prevents incidents rather than just documenting them. Mining companies using AI dashcams typically see a 20% reduction in safety incidents within 3 months.

Mining companies typically see 20% reduction in accidents within 3 months and significant savings on insurance premiums. The real-time alerts prevent costly incidents, while the coaching data helps build a stronger safety culture. Additional value comes from reduced liability and improved compliance documentation.