Panasonic Corporation has developed a drowsiness-control technology for detecting and predicting a person’s level of drowsiness and allowing to stay comfortably awake.
This technology detects a driver’s shallow drowsiness at the initial state by accurately measuring the driver’s states without physical contact, including blinking features and facial expressions, etc. captured by an in-vehicle camera, and processing these signals using artificial intelligence.
Further, using measurement data from the in-vehicle environment, such as heat loss from the driver and illuminance, the technology also 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.
Detects shallow drowsiness the driver is even unaware of by non-contact measurement of blinking features and facial expressions, etc.
Collects in-vehicle environment data to predict transitions in the driver’s drowsiness level.
Senses and monitors the driver’s level of thermal sensation, allowing the person to stay comfortably awake.
Conventional drowsiness-detection systems had difficulty in predicting transitions in drowsiness.
Conventional anti-hypnotic stimulant systems use alarm sounds and vibrations to wake up users, which can make them feel uncomfortable.
Panasonic’s this newly developed technology has 22 patents on file and is suitable for applications in human- and environment-monitoring systems for use in such places as private and commercial vehicles, offices and educational institutions; drowsiness-prediction systems; and drowsiness-control systems for keeping people awake.
Panasonic conducted joint research with Chiba University, which revealed that heat loss from a person’s body is correlated with the person’s drowsiness after prescribed time elapses, regardless of how much clothes the person wears.
Panasonic has also developed a contactless technology to measure heat loss from a person’s body with the company’s original infrared array sensor Grid-EYE. In addition, the company has identified the effect of the elapsed time and the surrounding brightness, which is measured by an environment sensor, on a person’s level of drowsiness.
These results have made it possible to predict how a person’s current drowsiness can change by means of heat loss from the body (measured without contact) and the surrounding brightness.