Panasonic develops driver drowsiness-control technology

Panasonic Corporation has developed technology for detecting and predicting a person’s level of drowsiness prior to driving. This technology, which helps prevent drowsy driving, detects a driver’s shallow drowsiness at the initial state by using an in-vehicle camera to capture indicators such as blinking features and facial expressions and processing these signals using artificial intelligence. Using this data, Panasonic’s technology predicts transitions in the driver’s drowsiness level. The technology al
November 28, 2017 Read time: 1 min

598 Panasonic Corporation has developed technology for detecting and predicting a person’s level of drowsiness prior to driving.

This technology, which helps prevent drowsy driving, detects a driver’s shallow drowsiness at the initial state by using an in-vehicle camera to capture indicators such as blinking features and facial expressions and processing these signals using artificial intelligence.

Using this data, Panasonic’s technology predicts transitions in the driver’s drowsiness level. The technology also combines thermal sensation monitoring function, which is said to allow the driver to stay comfortably awake while driving.

Location Based Systems

For more information on companies in this article

Related Content

  • Kapsch outlines tolling options to combat traffic congestion
    January 11, 2017
    Michael Maitland from Kapsch TrafficCom looks at how the various forms of tolling can help authorities combat traffic congestion and air quality problems while simultaneously raising revenue.
    Read More
  • Keolis demos 5G autonomous minibus
    November 5, 2021
    Trial included input from Telia, Ericsson and Tengineering
    Read More
  • Ground-breaking new Flir cameras with AI will optimise traffic flow
    September 16, 2021
    Flir Systems will showcase two ground-breaking intelligent traffic system cameras, the Flir ThermiCam AI* with thermal imaging and the Flir TrafiCam AI visible camera, both with artificial intelligence (AI) to optimise traffic flow on roadways and at intersections. When combined with the Flir Acyclica cloud platform, cities can apply the AI-camera data to predict traffic, prevent congestion and potential accidents, and create safer roads for drivers, cyclists, and pedestrians, 24 hours a day
    Read More
  • Travel times halve for tolling converts
    August 5, 2013
    The Port Mann Bridge in Vancouver is a prime example of how the latest ITS systems enable new infrastructures to be built and paid for while still providing additional user benefits. Vancouver has 2.2 million inhabitants and, like so many major cities, is divided into two by a river, the Frazer river. This combination makes Vancouver the second most congested city in North America and the most congested in Canada. Through the middle of the city runs the Trans-Canadian Highway 1 which crosses the Frazer Riv
    Read More

Highlighted Content