Driver assistance systems CorrActions develops a safe AI-supported method for alcohol detection

From Stefanie Eckardt | Translated by AI 2 min Reading Time

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The Israeli start-up CorrActions has developed a method based on artificial intelligence to reliably detect driver impairments, such as attempts to drive under the influence of alcohol. The company's neuro-monitoring can differentiate or verify the results of alcohol sensors in the vehicle.

CorrActions has developed a safe AI-supported method to help detect intoxicated drivers.(Image: freely licensed on Pixabay)
CorrActions has developed a safe AI-supported method to help detect intoxicated drivers.
(Image: freely licensed on Pixabay)

To minimize road traffic risks, the new NCAP safety protocol for 2026 emphasizes the importance of passive systems for detecting drunk driving. The Israeli software startup CorrActions supports Euro NCAP’s initiative for alcohol detection systems as a crucial step towards safer roads. Its newly developed neuro-monitoring provides a robust and reliable way to unmistakably detect driving behavior under the influence of alcohol and can differentiate or corroborate the results of alcohol sensors in the vehicle.

Cognitive neuro-monitoring is a new method to accurately identify a driver's condition and reliably distinguish whether the impairment is due to fatigue or alcohol consumption.

High demand for alcohol detection

Alcohol-related traffic accidents pose a major challenge in Europe. In 2023 alone, these resulted in 5,000 fatalities, accounting for about 25 percent of all road deaths. Given these alarming figures, the EU has set the goal of reducing the number of traffic fatalities to zero by 2050. To achieve this goal, the introduction of new detection and prevention technologies is necessary.

Therefore, Euro NCAP is introducing a new assessment model with the 2026 protocol, which allocates 25 safety points for driver monitoring. Up to 2 points are allocated for the detection of impairments not attributed to fatigue, such as alcohol, without resorting to intrusive locking systems. In vehicles with driver assistance systems, these 2 points account for up to 16 percent of the driver monitoring requirements.

Muscle micro-movements reveal critical brain activities

The NeuroMonitor solution from CorrActions addresses several critical requirements to detect if the driver is intoxicated. It utilizes a patented technology that analyzes brain activity through micro-movements of the muscles, captured by existing sensors within the vehicle, such as on the steering wheel. It is an AI-based software solution that detects the entire range of blood alcohol concentration (BAC) with nearly zero false alarms—even before physical symptoms occur—and does so passively, meaning the driver does not need to take any action for detection.

Unlike alcohol testers or touch-based sensors, it monitors cognitive decline in real-time and cannot be bypassed. This eliminates the need for automakers to add additional hardware to meet new protocol requirements, also because it works with any processor in any vehicle. (se)

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