An independent study by the Virginia Tech Transportation Institute (VTTI) evaluated Nauto’s AI-powered in-vehicle safety system, measuring its performance in detecting distracted driving and issuing alerts. 

Conducted in December 2024, the study offers a direct comparison to VTTI’s 2023 benchmark evaluation of other leading dash cam technologies, including systems from Lytx, Motive, and Samsara.

Perfect Detection of Smartphone Distractions

In the latest round of testing, Nauto achieved a 100% detection rate for smartphone-related distracted driving events. These types of distractions — including texting, talking, or handling a phone while driving — are among the most common contributors to collisions and risky behavior behind the wheel.

This level of accuracy matches the most critical needs for commercial fleets, where early identification of driver distraction can directly impact incident rates, safety scores, and operational costs. The detection capabilities were evaluated in real-world driving scenarios, helping ensure results reflected conditions fleets regularly face.

Faster Alerts Improve Driver Reaction Time

Along with high detection accuracy, Nauto also delivered faster in-vehicle alerts compared to previously tested systems. According to VTTI, Nauto’s system issued distraction warnings in less than five seconds on average. That alert speed was up to four times faster than those reported in the 2023 benchmark study.

By notifying drivers more quickly, the system helps increase the time and distance available for drivers to correct behavior or react to external hazards — potentially reducing both the frequency and severity of collisions.

For example, where other systems might alert a distracted driver after 15 seconds, Nauto’s system could issue the same alert in just four, giving a vehicle traveling 55 mph an additional 150+ feet of reaction time.

Supporting Safety and Operational Goals

For fleets, the benefits of this type of performance may extend beyond safety. According to the study, improved alert timing and accuracy could contribute to reduced collision claims, lower insurance premiums, and fewer vehicle maintenance needs, outcomes that directly affect a fleet’s bottom line.

Reducing risk also means protecting drivers, keeping them safer on the job, and minimizing downtime from incident-related injuries or repairs. Over time, these improvements can help foster a stronger safety culture across the fleet.

Fleet operators interested in comparing safety tech performance under similar testing conditions can now review how Nauto stacks up against other AI-powered video systems in VTTI’s published results.