Features
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