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.

Location Based Systems

For more information on companies in this article

Related Content

  • Flir's compact smart city sensor for traffic monitoring
    September 16, 2016
    Flir’s new compact TrafiOne sensor for traffic monitoring and dynamic traffic signal control uses thermal imaging and optional Wi-Fi tracking to provide data on the flow of vehicles, bicycles and pedestrians at intersections and in urban environments.
    Read More
  • Machine vision’s image of road management’s future
    June 11, 2015
    Q-Free’s Marco Sinnema looks at how the commoditisation of high-quality vision-based solutions is widening their application. Machine vision technology’s entry into the ITS/traffic management sector has followed a classic top-down path. This is unsurprising given the extremely demanding performance criteria which are the standard in its market of origin, manufacturing processing. Very high image qualities combined with frame rates often in the hundreds per second range resulted in vision systems with capabi
    Read More
  • Weighing up the future with AI
    April 14, 2022
    There is broad agreement that artificial intelligence will be an important part of Weigh in Motion as we go forward – but Adam Hill finds that not everyone agrees quite how close we are to that point
    Read More
  • Flir showcases new TrafiOne smart city wireless sensor
    June 3, 2016
    Flir Systems will be launching the Flir TrafiOne Smart City Sensor, an all-round detection sensor for traffic monitoring and dynamic traffic signal control. Offered in a compact and easy-to-install package, the system uses thermal imaging and wi-fi technology to provide traffic engineers with high-resolution data on vehicles, bicycles and pedestrians at intersections and in urban environments. The Flir TrafiOne sensor uses thermal imaging to detect the presence of pedestrians and cyclists who are approac
    Read More

Highlighted Content