DriverAwaken

DriveAwake AI — Real-time drowsiness detection that helps drivers stay alert and safer on the road.

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Inspiration

DriverAwaken was inspired by the risks of driver fatigue, especially among truck and long-distance drivers who spend many hours on the road.

What it does

The app uses the phone’s front camera to detect signs of drowsiness such as prolonged eye closure, yawning, and head movements, then sends real-time alerts to the driver.

How we built it

We built DriverAwaken with Flutter and on-device computer vision, using facial landmarks, EAR, PERCLOS, head pose estimation, sound alerts, and vibration.

Challenges we ran into

The main challenge was detecting drowsiness accurately in real time while avoiding false alerts caused by lighting, camera angles, or normal blinking.

Accomplishments that we're proud of

We created a real-time drowsiness monitoring system that works directly on the smartphone without requiring additional hardware.

What we learned

We learned how to combine computer vision, facial analysis, calibration, and real-time mobile processing into a practical safety application.

What's next for DriverAwaken

We plan to improve detection accuracy, add trip reports, driver fatigue statistics, emergency contact alerts, and support for fleet monitoring.

Built With

  • android
  • artificial-intelligence
  • audio
  • camera
  • computer-vision
  • dart
  • driver-safety
  • drowsiness-detection
  • ear
  • face-detection
  • facial-landmarks
  • flutter
  • head-pose-estimation
  • machine-learning
  • mediapipe
  • ml-kit
  • mobile-app
  • on-device-ai
  • perclos
  • real-time-processing
  • vibration-alerts
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