Smart Eye's real-time alcohol detection feature determines whether a driver is intoxicated using only the vehicle's interior camera, without requiring separate devices. This is based on the principle that a person's eye movements and blinking patterns change subtly under the influence of alcohol.
For example, alcohol can cause abnormally slow blinking, dulled pupil response, and unsteady gaze. The system analyzes DMS camera footage with AI to capture these subtle changes in real-time. By using machine learning to learn combined patterns of eyelid drooping, difficulty in sustained gaze, and subtle eye tremors, the system immediately classifies the driver as "suspected of intoxication" when it detects a clear deviation from the norm.
This feature is integrated into Smart Eye's existing driver monitoring software, allowing implementation with just a software update without the need for additional hardware. It is also tuned to meet the real-vehicle test scenarios required by major global safety certification bodies, and is developed to produce highly reproducible results across various driver demographics (race, age, gender) during real road driving.
In particular, European NCAP will introduce alcohol detection assessment from 2025, and this technology is currently considered the closest to commercial realization. As the description *
In conclusion, this technology can prevent drunk driving accidents by immediately recognizing careless driving patterns caused by alcohol consumption and enabling warnings or vehicle intervention (speed reduction, hazard light activation, etc.).