Every driver and fleet safety vendor claims that they use Artificial Intelligence, Machine Learning and Computer Vision to enable superior solutions for their customers. In this episode of (naut)Distracted!, we will explore this topic and how it relates to Driver Monitoring Systems (DMS). We will simplify the complexity, and explain how AI works on the network edge, in the cloud and everywhere in between. We will explore how factors such as precision, recall and real-time response are critical determinants as you design your DMS architecture.

As pandemic lockdowns spread across the nation, so did the false notion that drivers are safe on the road. While many non-essential workers found themselves stuck at home for months, a new trend emerged on our streets and highways: drivers traveling at alarming speeds. That, coupled with the unexpected increase in distracted driving, has proven to be a fatal mix. In early 2020, the nation saw a surge in deadly accidents.

This episode of (naut)Distracted! will explore:

• The latest research on how attention is impacted by multitasking and the demands it places on the brain, especially as it relates to complex tasks like driving
• How stressors can weaken our cognitive ability to perform and stay focused on a task
• Theories and thoughts on why distracted driving is on the rise
• Why and how AI is enabling safer driving with real-time prevention
• Steps Fleet Managers and Drivers can take to reduce distracted behaviors in their fleet 

Featuring

• John Bruggeman - Chief Marketing Officer, Nauto (Moderator)
• Dr. David Strayer - Ph.D., Cognition and Neural Science, University of Utah
• Dr. Stefan Heck - CEO and Founder, Nauto