Anti sleep glasses

1. Anti-Sleep Glasses Using AI to
Prevent Accidents
• Your Name
• Roll Number
• Department
• Institution Name
• Date

2. Introduction
• • Road accidents due to drowsy driving are a
major concern.
• • Need for a proactive solution.
• • Smart AI-based glasses for real-time
monitoring.

3. Problem Statement
• • Fatigue-related accidents are increasing.
• • Drivers are often unaware of their
drowsiness.
• • Lack of affordable early-warning systems.

4. Objective
• • Design AI-powered glasses to detect
drowsiness.
• • Alert users before microsleep occurs.

5. System Overview
• • Smart glasses with sensors (IR, Camera).
• • AI for drowsiness detection.
• • Real-time alert (buzzer/vibration).

6. Components Used
• • Raspberry Pi / Arduino
• • Camera Module / IR Sensor
• • AI Model (Eye/Yawn Detection)
• • Buzzer / Vibration Motor
• • Power Source

7. Working Principle
• • Eye movement & blink detection via AI.
• • Yawning and eye closure monitoring.
• • Alert is triggered when drowsiness is
detected.

8. Result and Discussion
• • Prototype tested on various users.
• • High accuracy in detecting sleep signs.
• • Immediate alert increased driver awareness.

9. Future Scope
• • Integration with vehicle systems.
• • Personalized ML-based detection.
• • GPS and cloud connectivity for alerts.

10. Conclusion
• • Low-cost, effective tool to reduce accidents.
• • AI enhances reliability over traditional
systems.
• • A step towards safer transportation.