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.

For more information on companies in this article

Related Content

  • Cohda: CPM helps AVs see through blind spots 
    February 3, 2021
    Collective perceptive messaging allowed RSU to share information by using V2X tech 
  • Combining Bluetooth and wi-fi to optimise traffic signals
    May 8, 2013
    Optimisation of traffic signals is often seen as a challenging and expensive task, requiring inductive loops, cameras or manual counting for traffic monitoring. However, a new development from Danish wireless technology company Blip Systems aims to change that. BlipTrack uses a combination of Bluetooth and wi-fi to constantly monitor and map traffic flow. The system detects all vehicles containing Bluetooth or wi-fi enabled devices to provide accurate traffic data, enabling real-time traffic monitoring a
  • Camera-based DMS to be chief enablers of safe, semi-autonomous driving, says research
    October 21, 2016
    ABI Research has identified camera-based driver monitoring systems (DMS) as the chief enablers of safe, semi-autonomous driving. The market is forecast to reach 17.5 million camera-based DMS shipments in 2026. Biometric availability encompasses the driver's alertness, his or her engagement with the driving process and even the driver's ability to manually interact with the system as required. The key to enabling such a holistic driver monitoring system (DMS) is the use of internal cameras, either stereos
  • Indra leads Spanish RDI Mobility 2030 project
    April 21, 2021
    Project seeks to integrate autonomous vehicles into Mobility as a Service solutions