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US 12,574,478 B2Granted
Security operations of parked vehicles
OwnerPoorna Kale, Robert Richard Noel Bielbyinventors
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Abstract
Systems, methods and apparatus of vehicle security operations during parking. For example, a vehicle includes: a proximity sensor configured to detect presence of an object approaching the vehicle when the vehicle is in a parking state; at least one camera configured to monitor surroundings of the vehicle when the vehicle is in the parking state; and an artificial neural network configured to extract identification information of the object from images generated by the camera and determine a security classification of the presence of the object. The identification information is stored in the vehicle and/or transmitted to a server or a mobile device, in response to the security classification being in a predefined category.
Claims17
A device, comprising:
- a camera configured on a vehicle to generate images of surroundings of the vehicle;
- and
- a computing device configured to perform computations on an artificial neural network to identify an object from the images and determine a classification of the object, wherein the artificial neural network includes a spiking neural network;
- wherein the computing device is configured to, in response to the classification determined for the object being in a predefined category, record a video clip of the object;
- wherein, in response to the classification being in the predefined category, the vehicle is configured to record the video clip of the object for a duration in which the presence of the object is detected by a proximity sensor;
- wherein the artificial neural network is configured to be trained, in the vehicle, to predict a user identified security classification based on a video clip being assigned the user identified security classification, wherein the security classification identifies an abnormal activity;
- the vehicle is configured to record a video clip of the abnormal activity;
- and after the video clip is reviewed to identify a detailed classification, the artificial neural network is further trained to predict the detailed classification from the video clip.
5 more elements
A method, comprising:
- monitoring, by at least one camera configured on a vehicle, surroundings of the vehicle;
- providing, to an artificial neural network, images generated by the at least one camera, wherein the artificial neural network includes a spiking neural network;
- extracting, by the artificial neural network, identification information of the object from the images generated by the at least one camera;
- determining, by the artificial neural network, a classification in relation with the presence of the object in vicinity of the vehicle, wherein the classification identifies an abnormal activity;
- storing, in a data storage device of the vehicle, the identification information in response to the classification being in a predefined category;
- training, in the vehicle, the artificial neural network to predict a user identified classification based on a video clip being assigned the user identified classification;
- recording, by the vehicle, a video clip of the abnormal activity;
- and
- training, in the vehicle, the artificial neural network to predict a user identified security classification based on a video clip being assigned the user identified security classification, wherein the security classification identifies an abnormal activity;
- the vehicle is configured to record a video clip of the abnormal activity;
- and after the video clip is reviewed to identify a detailed classification, the artificial neural network is further trained to predict the detailed classification from the video clip.
8 more elements
A non-transitory computer storage medium storing instructions which, when executed in a computing device, causes the computing device to perform a method, the method comprising:
- monitoring, by at least one camera configured on a vehicle, surroundings of the vehicle;
- providing, to an artificial neural network, images generated by the at least one camera, wherein the artificial neural network includes a spiking neural network;
- extracting, by the artificial neural network, identification information of the object from the images generated by the at least one camera;
- determining, by the artificial neural network, a classification in relation with the presence of the object in vicinity of the vehicle, wherein the classification identifies an abnormal activity;
- storing, in a data storage device of the vehicle, the identification information in response to the classification being in a predefined category;
- training, in the vehicle, the artificial neural network to predict a user identified classification based on a video clip being assigned the user identified classification;
- recording, by the vehicle, a video clip of the abnormal activity;
- and
- training the artificial neural network to predict a user identified security classification based on a video clip being assigned the user identified security classification, wherein the security classification identifies an abnormal activity;
- the vehicle is configured to record a video clip of the abnormal activity;
- and after the video clip is reviewed to identify a detailed classification, the artificial neural network is further trained to predict the detailed classification from the video clip.
8 more elements
Dependencies are inferred from the claim text.