WAKER

How to Use
• Start WAKER when you are in a normal, non-drowsy state, such as when you begin driving or studying. WAKER first analyzes your facial and eye characteristics in a normal state so that it can more reliably detect signs of drowsiness later.
• When the app starts, Initial Detection (15 seconds) → Learning (15 minutes) runs once. After that, Drowsiness Detection (5 minutes) → Detection Standby (5 minutes) repeats until the app is closed.

Operation Stages
1. Initial Detection (15 seconds)
Checks whether your face is properly positioned within the camera view for drowsiness detection.
2. Learning (15 minutes)
Analyzes your facial and eye characteristics while you are in a normal, non-drowsy state to create baseline data for drowsiness detection.
3. Drowsiness Detection (5 minutes)
Analyzes your face and eyes in real time and compares them with the baseline data generated during the Learning stage to determine signs of drowsiness. If signs of drowsiness are detected, the app provides an alert.
4. Detection Standby (5 minutes)
If no drowsiness is detected, drowsiness detection is temporarily paused to reduce the device's power consumption. After the 5-minute standby period, Drowsiness Detection starts again.

Operation Flow
Initial Detection 15 sec → Learning 15 min → [Drowsiness Detection 5 min ↔ Detection Standby 5 min]

WAKER is a drowsiness detection and focus assistance app that uses your smartphone camera to analyze your face and eye status in real time and alert you when signs of drowsiness are detected.

WAKER can be used not only while driving but also while studying or during other activities that require prolonged concentration, helping students and test takers recognize signs of drowsiness and stay alert.

Key Features
• Real-time face and eye status detection
• Alerts when signs of drowsiness are detected
• Simple start and stop controls
• Real-time face and eye analysis performed on your smartphone

Camera images and face/eye analysis data used for drowsiness detection are processed in real time on your device and are not transmitted to or stored on WAKER's external servers.

WAKER uses Google ML Kit for face detection and analysis. The Google ML Kit SDK may collect technical information such as device and app information, per-installation identifiers, performance metrics, and diagnostic data for diagnostics and usage analytics.

For more information about how data is handled, please refer to our Privacy Policy.

WAKER is designed to assist users in recognizing signs of drowsiness while driving, studying, or performing other activities that require sustained attention. It does not guarantee the prevention of drowsy driving or ensure driving safety. If you feel drowsy while driving, pull over to a safe location and get sufficient rest regardless of the app's detection results.