Introduction
AI-powered Fatigue Detection helps fleets identify early signs of driver fatigue using multiple AI-detected behaviors. By combining signals such as yawning, eye rubbing, lane swerving, and microsleep, the system surfaces fatigue events so teams can take action before incidents occur.
This feature works with existing dual-facing AI Dashcams (AIDC-54) and does not require additional hardware.
What’s new?
Fatigue Detection introduces a multi-behavior approach to identifying fatigue.
Unlike Drowsiness AI, which detects excessive yawning only, Fatigue Detection combines multiple driver and vehicle behaviors into a single event. These include:
- Early indicators (face rubbing, stretching)
- Predictive signs (rubbing eyes, yawning)
- High-risk behaviors (lane swerving)
- Critical events (microsleep)
Each fatigue event is reviewed and validated before appearing in the dashboard and includes multi-clip video for full context.
How does this help fleets?
- Detect fatigue earlier: Identify early warning signs before they escalate into high-risk situations
- Improve event accuracy: Multiple behaviors are used to confirm fatigue-related risk
- Review complete context: Multi-clip video and severity levels help teams quickly understand what happened
- Respond to critical events: Microsleep events are clearly highlighted for immediate action
- Deploy easily: Available on existing dual-facing AI Dashcams (AIDC-54)
How to access this feature
Fatigue Detection is available on:
- Motive Fleet Dashboard
- Fleet App
- Driver App
Fatigue events appear in the Safety > Events workflow and can be used within existing coaching and alerting processes.
Rollout plan
- Launch date: May 5, 2026
- Availability: All customers using dual-facing AI Dashcams (AIDC-54)
- Future support: AIDC+ coming soon
Important notes
- In-cab alerts for Fatigue Detection are not available at launch (coming soon)
- Fatigue events are available for review and coaching only and do not impact Safety Score at launch
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