# Alerts

##### Open fatigue alerts

Sample data
Search
Severity
Type

Driver / vehicle | Alert | Severity | Triggered | Actions
--- | --- | --- | --- | ---
Alex Chen · Truck 18 | Microsleep pattern detected while at 90 km/h | Critical | 6 min ago |
Maria Lopez · Van 08 | Prolonged eye closure over 3-second window | High | 18 min ago |
Samir Patel · Truck 05 | Head tilt and slouching consistent with drowsiness | Medium | 42 min ago |

##### AI alert insights

Hashbrown

Pattern preview · Last 24 hours

- 61% of alerts are eye-closure or microsleep events.
- 29% are pose-only risk signals (slouching, head tilt).
- 10% are sensor or calibration issues.

AI suggestions

- Prioritize microsleep alerts on long-haul segments with limited shoulder access.
- Bundle low-severity pose alerts into a daily coaching summary for each driver.
- Suppress duplicate alerts when the same driver triggers multiple events in < 2 minutes.

Explain detection logic View fatigue insights

##### AI explanation of fatigue alert

Generated by DriveAware using PoseNet + OpenCV (sample copy).

Why this microsleep alert fired

- Eye-closure ratio remained above the microsleep threshold for approximately 2.6 seconds.
- Blink frequency dropped sharply just before the event, which often precedes drowsy episodes.
- Head pitch angle briefly increased, suggesting nodding while the vehicle was moving.

Suggested actions

- Contact the driver and recommend an immediate safe stop for a short break.
- Review continuous driving time and enforce rest period if thresholds are exceeded.
- Flag this trip for later coaching if repeated events occur.

Why this eye-closure alert fired

- Average eye aspect ratio (EAR) stayed below the drowsiness threshold for > 1.5 seconds.
- Blink frequency over the last 60 seconds was significantly lower than this driver’s baseline.
- No strong head movement or lane-change signals were detected, making true drowsiness more likely.

Suggested actions

- Monitor for repeat alerts within the next 15–20 minutes.
- If repeated, escalate to a call or in-cab alert suggesting a rest stop.
- Include this segment in end-of-shift feedback for the driver.

Why this pose-based alert fired

- PoseNet detected sustained head tilt and forward slouch beyond configured thresholds.
- These changes persisted for more than 45 seconds, increasing the chance of drowsiness.
- Other signals (eye closure, lane-keeping) were borderline but not yet critical.

Suggested actions

- Monitor additional signals (eyes, steering corrections) to confirm or dismiss risk.
- Use this data for coaching about posture and early signs of fatigue.
- Consider adjusting thresholds if many pose-only alerts do not correlate with true fatigue.