Skip to main content

Panasonic develops driver drowsiness-control technology

Panasonic Corporation has developed a drowsiness-control technology for detecting and predicting a person's level of drowsiness prior to driving. This technology, which can help prevent drowsy driving, detects a driver's shallow drowsiness at the initial state by accurately measuring his states without physical contact, including blinking features and facial expressions, captured by an in-vehicle camera and processing these signals using artificial intelligence. Using measurement data from the in-vehicle en
July 28, 2017 Read time: 1 min
598 Panasonic Corporation has developed a drowsiness-control technology for detecting and predicting a person's level of drowsiness prior to driving.


This technology, which can help prevent drowsy driving, detects a driver's shallow drowsiness at the initial state by accurately measuring his states without physical contact, including blinking features and facial expressions, captured by an in-vehicle camera and processing these signals using artificial intelligence.

Using measurement data from the in-vehicle environment, Panasonic's new technology predicts transitions in the driver's drowsiness level. The technology also combines thermal sensation monitoring function, allowing the driver to stay comfortably awake while driving.

Related Content

  • January 4, 2022
    Teledyne Flir: here’s how to find the right ITS camera
    From lighting to weather, there are so many elements which need to be taken into account when choosing a camera for ITS operations. Riana Sartori from Teledyne Flir offers a buyer’s guide
  • October 28, 2014
    Machine vision offers new solutions to old problems
    The transportation sector is set to benefit from a far wider range of machine vision technology. While machine vision techniques have been applied to traffic management applications for some years, in some areas there can still be a shortage of knowledge about what the technology can offer transportation professionals. The image processing and interpretation functions of machine vision enables control room staff to be immediately alerted to occurrences requiring attention which, in turn, enables each person
  • June 25, 2019
    Panasonic and UDoT to develop transportation data network
    Panasonic North America has entered into a $50 million partnership with the Utah Department of Transportation (UDoT) to develop an advanced transportation data network. Panasonic says the network will improve safety and mobility on the road by sharing data between vehicles, infrastructure, roadways and traffic operators in real-time. The network is expected to provide the UDoT traffic operations centre with insights into crashes, severe weather or stalled vehicles. Personnel working at the centre wi
  • May 31, 2013
    Assessing driver behaviour in work zones
    David Crawford looks at moves to increase throughput and safety in work zones.