Drowsiness while driving is a critical risk, contributing to thousands of crashes and hundreds of deaths each year, with drowsy drivers being three times more likely to cause accidents. To mitigate these scenarios fleet managers have turned to artificial intelligence to monitor driver fatigue over the road.
A newly launched Drowsiness Detection technology by Samsara, tested by 50 early adopters since July, is now available industry-wide and shows a 77% success rate in identifying drowsy driving incidents. This software uses extensive training on over 10 trillion data points and 38 billion minutes of video footage to power its AI-driven fatigue detection.
“It’s hard to detect when someone is truly drowsy. It’s more than a single behavior, like yawning or having your eyes closed. Drowsiness can be less common than other risky driving behaviors, so accurate detection is only as good as the data that feeds and trains AI models,” said …