An advanced IoT embedded hardware safety solution designed to prevent fatigue-related accidents. The system processes real-time sensor streams through a stateful fatigue scoring engine, executing multi-level sensory alerts when cognitive drop-offs are detected.
- Real I2C Motion Tracking: Uses an MPU6050 Accelerometer to calculate dynamic pitch/roll changes, instantly catching head nods and dangerous sideways micro-sleep head drops.
- Algorithmic Fatigue Scoring Engine: Features an analytical 0-100 metric accumulation engine that triggers escalating warning responses based on multiple parallel sensor feeds.
- Three-Tier Sensory Escalation:
- Level 1 (Warning): Soft buzzer tone for early drowsiness indications.
- Level 2 (Alert): Rapid buzzer beep frequencies coupled with rhythmic flashing visual alert patterns.
- Level 3 (Critical): High-intensity auditory alarm sync'd with continuous tactile feedback from a vibrating motor array.
- Speed-Scaled Inactivity Matrix: Reads simulated potentiometer inputs mapping 0-120 km/h velocities to adaptively reduce idle timeout margins during higher vehicle speeds.
- Tactile Interactions: Features dedicated hardware inputs simulating infrared eye-blink sensors and physical manual alert override protocols.
In this simulation run, you can observe the real-time interaction of the MPU6050 head tilt detection, eye blink processing, and the escalating response phases of the fatigue score engine.
sketch.ino- High-fidelity C++ scheduling loop optimized with fully non-blocking timing routines.diagram.json- Complete declarative component layout and color-coded path configurations for the virtual canvas simulator.