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.
Claims17
A vehicle, comprising:
- 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;
- wherein the infotainment system is configured to provide the instructions via voice at varying volume levels to test alertness of the driver.
A method, comprising:
- generating, by a camera configured to face a driver of a vehicle, a sequence of images of the driver driving the vehicle;
- analyzing, by an artificial neural network, the sequence of images as a function of time;
- classifying, by the artificial neural network, whether the driver is in a drowsy state;
- providing, by an infotainment system of the vehicle, instructions to the driver in response to a classification by the artificial neural network that the driver is in the drowsy state;
- and
- providing instructions to the driver to request for a response detectable via the camera, in response to the classification of drowsiness.
An apparatus, comprising:
- a camera configured to face a driver of a vehicle and generate a sequence of images of the driver driving the 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 based on the sequence of images;
- 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, to cause an infotainment system of the vehicle to provide instructions to the driver to test alertness of the driver.
Dependencies are inferred from the claim text.