Occupant recognition and verification system

摘要

A method and system for recognizing and verifying the identity of a driver and front seat passenger of a vehicle. A vehicle owner uploads profile data for several individuals who may be a driver or passenger to a database in the vehicle. When a driver or passenger enters the vehicle, the system uses the profile data—which can include height, weight, and gender information about the individual—along with vehicle data such as seat position, to identify the driver or passenger from the database. The profile data for the known individual is then used to adjust the position of the seat and other components in the cockpit. The profile data is also used by various safety and convenience systems onboard the vehicle.

主权项

1. A method for recognizing and verifying an identity of one or more occupants of a vehicle, said method comprising:
providing profile data for a plurality of individuals; loading the profile data for the plurality of individuals into a database onboard the vehicle, including wirelessly downloading the profile data from a telematics service to which the profile data had previously been uploaded; entering the vehicle by the one or more occupants of the vehicle; recognizing an identity of the one or more occupants of the vehicle; starting a timer and retrieving the profile data from the database for the one or more occupants of the vehicle who were recognized; calculating theoretical cockpit configuration parameters based on the profile data for each of the recognized occupants; adjusting cockpit configuration by each of the recognized occupants; determining actual cockpit configuration parameters after a certain time has elapsed since the timer was started for each of the recognized occupants; comparing the actual cockpit configuration parameters with expected cockpit configuration parameters for each of the recognized occupants using a mathematical similarity function; and verifying the identity of each of the recognized occupants by computing the difference between the value of the mathematical similarity function and a predefined threshold, and enabling personalization features if the value of the difference meets a predefined criteria.