Feature

T-DMS diagram

Drowsiness

  • Face Detection: Detect face from frame then feed ROI into Iris detection model.
  • Iris Eyes detection: The model detects if eyes are open or closed.
  • Sleepy Algorithm and Alert system: Define if the driver is drowsy, triggers an alarm through the speaker.
  • Real-time Monitoring: Process video in real-time to detect and alert Drowsiness.

Distraction

  • Video Analysis: Analyze the frames from video for the Distraction Monitoring.
  • Object Detection: Using AI model to detect objects from frames.
  • Alert system: Define if the driver is distracted, trigger an alarm through the speaker.
  • Real-time Monitoring: Process video in real-time to detect and alert Distraction.

SOS Detection

  • Video Analysis: Analyze the frames from the video for the SOS Situation.
  • Object Detection: Using AI model to detect dangerous objects from frames.
  • Hand Pose Detection: Hand Landmark detection and Hand SOS algorithm.
  • Alert system: Captured SOS image, get location, time and send to Server for Immediate Response.

Benefits

Proactive Risk Detection

Proactive Risk Detection

Real-time identification and alerts for risky driving behaviors

Emergency Support

Emergency Support

Assisting drivers and enabling rapid response in critical situations

Significant Accident Reduction

Significant Accident Reduction

Quantifiable impact on safety by addressing driver inattention