Use of biometric data to facilitate personalization services such as vehicle immobilization in automobiles
A personalization arrangement for a motor vehicle includes an infrared camera capturing data that is unique to a human user disposed within the motor vehicle. Infrastructure implements a command from the human user. A database stores sets of data. Each set of data corresponds to a respective human user. An electronic processor determines whether the data captured by the infrared camera matches a set of data in the database corresponding to a respective human user. The electronic processor enables the infrastructure to implement the command from the human user, or inhibits the infrastructure from implementing the command, depending upon whether the data captured by the infrared camera matches a set of data in the database corresponding to a respective human user.
1 . A personalization arrangement for a motor vehicle, the arrangement comprising:
an infrared camera configured to capture images of hand gestures of human users while the human users are disposed within the motor vehicle;
infrastructure configured to implement a command from the human user;
a database storing a plurality of sets of image data, each said set of image data corresponding to a respective set of hand gestures that are unique to a respective one of the human users; and
an electronic processor communicatively coupled to each of the infrared camera, the infrastructure, and the database, the electronic processor being configured to:
determine whether the images of hand gestures captured by the infrared camera match a set of image data in the database corresponding to a respective set of hand gestures that are unique to a respective one of the human users;
enable the infrastructure to implement the command from the human user in response to determining that the images of hand gestures captured by the infrared camera match a set of image data in the database corresponding to a respective set of hand gestures that are unique to a respective one of the human users; and
inhibit the infrastructure from implementing the command from the human user in response to determining that the images of hand gestures captured by the infrared camera do not match any of the sets of image data in the database each corresponding to a respective set of hand gestures that are unique to a respective one of the human users.
2 . The arrangement of claim 1 wherein the command is a command to start operation of a motor of the motor vehicle.
3 . The arrangement of claim 1 wherein the command is a command to unlock a door of the motor vehicle.
4 . The arrangement of claim 1 wherein the electronic processor is configured to use a machine learning algorithm to determine whether the images of hand gestures captured by the infrared camera matches a set of image data in the database corresponding to a respective set of hand gestures that are unique to a respective one of the human users.
5 . The arrangement of claim 1 wherein the electronic processor is configured to use a convolutional neural networks algorithm to determine whether the images of hand gestures captured by the infrared camera matches a set of image data in the database corresponding to a respective set of the hand gestures that are unique to a respective one of the human users.
6 . A personalization method for a motor vehicle, the method comprising:
using an infrared camera to capture images of hand gestures of human users while the human users are disposed within the motor vehicle;
storing a plurality of sets of image data, each said set of image data corresponding to a respective set of hand gestures that are unique to a respective one of the human users;
determining whether the images of hand gestures captured by the infrared camera match stored said set of image data corresponding to a respective set of hand gestures that are unique to a respective one of the human users;
enabling a command from the human user to be implemented, the enabling being in response to the determining step including determining that the images of hand gestures captured by the infrared camera match one of the stored sets of data corresponding to a respective set of hand gestures that are unique to a respective one of the human users; and
preventing a command from the human user from being implemented, the preventing being in response to the determining step including determining that the images of hand gestures captured by the infrared camera do not match any of the stored sets of image data in the database each corresponding to a respective set of the hand gestures that are unique to a respective one of the human users.
7 . The method of claim 6 wherein the command is a command to start operation of a motor of the motor vehicle.
8 . The method of claim 6 wherein the command is a command to unlock a door of the motor vehicle.
9 . The method of claim 6 wherein a machine learning algorithm is used to determine whether the images of hand gestures captured by the infrared camera matches a respective set of hand gestures that are unique to a respective one of the human users.
10 . The method of claim 6 wherein a convolutional neural networks algorithm is used to determine whether the images of hand gestures captured by the infrared camera matches a respective set of hand gestures that are unique to a respective one of the human users.
11 . A personalization arrangement for a motor vehicle, the arrangement comprising:
an infrared camera configured to capture image data from hand gestures of human users while the human users are disposed within the motor vehicle;
a database storing a plurality of sets of image data, each said set of image data corresponding to a respective set of hand gestures that are unique to a respective one of the human users; and
an electronic processor communicatively coupled to both the infrared camera and the database, the electronic processor being configured to:
determine whether the images of hand gestures captured by the infrared camera matches a set of image data in the database corresponding to a respective set of hand gestures that are unique to a respective one of the human users;
cause a command from the human user to be implemented in response to determining that the image data captured by the infrared camera matches a set of image data in the database corresponding to a respective set of hand gestures that are unique to a respective one of the human users; and
cause a command from the human user to be ignored in response to determining that the image data captured by the infrared camera does not match any of the sets of image data in the database that correspond to a respective set of hand gestures that are unique to a respective one of the human users.
12 . The arrangement of claim 11 wherein the command is a command to start operation of a motor of the motor vehicle.
13 . The arrangement of claim 11 wherein the electronic processor is configured to use a machine learning algorithm to determine whether the data captured by the infrared camera matches a respective set of hand gestures that are unique to a respective one of the human users.
14 . The arrangement of claim 11 wherein the electronic processor is configured to use a convolutional neural networks algorithm to determine whether the data captured by the infrared camera matches a respective set of hand gestures that are unique to a respective one of the human users.