Every year 1.3 million people around the world die in road crashes according to the World Health Organization. More than 20% of these fatalities are estimated to be alcohol-related – a global problem that demands comprehensive solutions.

Driven by technical enhancements in Artificial Intelligence and global regulatory efforts Driver Monitoring Systems are fast becoming a leading human-centered automotive safety system. Initially focused on detecting distracted and drowsy driving, the foundations of these systems may offer keys to detecting and mitigating driver impairment.

Today the prevalent measure to determine alcohol intoxication – Blood Alcohol Concentration (BAC) – is a standard that was developed decades ago. Critical research is being conducted by government bodies, the automotive industry, technology companies and academia to determine more effective approaches. 

In a recent event hosted by Smart Eye, we explored the state of alcohol intoxication research and opportunities to leverage evolving DMS technology to enhance road safety. What is the state of the art in impairment detection? Can we do more to mitigate harm with advanced technologies that exist today? What are the technological, societal and political challenges that will need to be overcome? When we will get there?

We gathered industry experts and leading researchers for a live panel discussion on the current state of intoxicated driving research. Listen to learn more.

Links of interest:

• Smart Eye Alcohol Intoxication Research: Advancing Road Safety: https://smarteye.se/blogs/advancing-road-safety-the-state-of-alcohol-intoxication-research/
• 5 Takeaways from Smart Eye Alcohol Intoxication Driver Research: https://smarteye.se/blogs/5-key-insights-into-the-state-of-intoxicated-driving-research/
• Smart Eye Driver Monitoring System(s): https://smarteye.se/automotive/driver-monitoring-systems/
• To combat the global issue of intoxicated driving, Smart Eye and VTI are collaborating on a research project called Fit 2 Drive: https://youtu.be/RF5mYGfazh0