Features

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

Real-time identification and alerts for risky driving behaviors

Emergency Support

Assisting drivers and enabling rapid response in critical situations

Significant Accident Reduction

Quantifiable impact on safety by addressing driver inattention