Driver fatigue detection systems are at the forefront of efforts to enhance road safety by mitigating the risks associated with drowsiness and reduced vigilance. These systems utilise an array of ...

00:00 In this week’s CCJ Tech Shorts, we’ll take a look at a new driver drowsiness monitoring system, Rand McNally’s use of AI in driver and vehicle performance data and more. 00:23 Netradyne, an AI ...

Roadzen Inc. has announced that its DrivebuddyAI platform has received a patent in India for its Real-Time Driver Drowsiness Detection Algorithm, which uses AI and computer vision to identify signs of ...

Machine Learning (ML) and Deep Learning (DL) algorithms can reduce road accidents through their ability to detect sleepy drivers and quickly and timely warn them of the dangers their drowsiness may ...

Netradyne, a software as a service provider of artificial intelligence and edge computing, recently introduced its Driver Drowsiness with Driver Monitoring System Sensor. Building on years of sleep ...

The National Traffic Safety Administration is looking for non-contact eye closure monitoring devices to use in tests of “drowsy driver” detection systems. NHTSA says the devices must provide real-time ...

Netradyne, a global leader in AI-driven fleet safety, today announced the launch of its flagship Driver•i D-450 video safety platform and the latest DMS Sensor in India. The four-camera D-450 system – ...

Keeping the driver alert on long drives and ensuring the safety of children in the rear sets are two examples of how in-cabin monitoring systems work to increase the welfare of passengers. Infrared ...