heavy eyelids can turn into a microsleep. In these moments, swift human intervention is critical.
This is where centralised monitoring plays a crucial role. Pairing AI-driven detection with trained specialists, teams at control towers can assess high-risk events almost immediately, reviewing footage and flagging critical incidents to fleet managers. At Optix, our team of over 60 trained specialists reviews up to two million video events a month. Footage is analysed within seconds of capture, allowing serious risks to be flagged quickly so managers can intervene and contact affected drivers to remove them from the road within minutes. In 2025 alone, this helped to prevent tens of thousands of incidents globally.
Predictive risk
Preventing incidents is only part of the picture. Equally important is uncovering why fatigue is occurring and whether wider, underlying factors are at play. By analysing millions of data points- covering geography, time of day, route type and driver patterns- insights can emerge that fleets can act on.
For example, data from the QLD Government shows that the majority of sleep-related vehicle crashes occur between 2am and 6am, and between 2pm and 4pm. Access to insight on patterns like these can transform operational decision making and allow fleets to act. This could include adjusting schedules and shift structures, rethinking route planning, improving daily communication and enhancing driver coaching, wellness, and support programmes. In doing so, safety moves from being reactive to becoming a strategic priority.
Managing fatigue effectively requires more than a device in a vehicle- it demands an integrated ecosystem: technology that detects risk, people who interpret it and data that predicts it. When fleets combine these elements, they can prevent incidents and ensure that all road users end their journey safely home.