Drowsiness detection for vehicle control
AssigneeMicron Technology, Inc.
InventorsPoorna Kale, Robert Richard Noel Bielby
Life of this patent
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Abstract
Systems, methods and apparatus of drowsiness detection for vehicle control. For example, a vehicle includes: a camera configured to face a driver of the vehicle and generate a sequence of images of the driver driving the vehicle; an artificial neural network configured to analyze the sequence of images and classify, based on the sequence of images, whether the driver is in a drowsy state; and an infotainment system configured to provide instructions to the driver in response to a classification by the artificial neural network that the driver is in the drowsy state.
Claims20
A vehicle comprising:
- a camera configured to generate a sequence of images of a driver of the vehicle;
- an artificial neural network configured to analyze the sequence of images and classify, based on the sequence of images, whether the driver is in a drowsy state;
- and
- a computer system configured to provide instructions to the driver in response to a classification by the artificial neural network that the driver is in the drowsy state.
An apparatus comprising:
- a camera configured to generate a sequence of images of a driver of a vehicle;
- and
- a data storage device configured to store model data of an artificial neural network, wherein in response to receiving the sequence of images in the data storage device, the data storage device is configured to analyze the sequence of images and classify whether the driver is in a drowsy state;
- wherein the apparatus is configured to communicate, to a computer system of the vehicle, a classification by the artificial neural network that the driver is in the drowsy state.
A method comprising:
- generating a sequence of images of a driver of a vehicle;
- analyzing, by an artificial neural network, the sequence of images;
- classifying, based on the sequence of images, whether the driver is in a drowsy state;
- and
- providing instructions to the driver in response to a classification that the driver is in the drowsy state.
Dependencies are inferred from the claim text.