Instrument parameter self-adaption system and method based on face recognition, identity recognition system and vehicle

Abstract

The invention relates to an instrument parameter self-adaption system and method based on face recognition, an identity recognition system and a vehicle, the instrument parameter self-adaption system comprises a face information acquisition device, an identity recognition system, a storage module and a processor module, the face information acquisition device is used for acquiring a face image of a driver; the method comprises the following steps: acquiring a face image, transmitting the acquired face image to an identity recognition system in real time, analyzing the face image by the identity recognition system, acquiring face features of the face image and each sample picture, and comparing the acquired face features of the face image with the face features of each sample picture one by one to obtain a comparison result; the processor module calls instrument parameters matched with the face recognition result from the storage module according to the face recognition result and displays a matched instrument interface. According to the invention, the success rate of identity recognition is improved, instrument information matching is carried out with the current driving identity, and self-adaption of the instrument information under different driver conditions is realized.

Description

technical field [0001] The invention belongs to the technical field of vehicle engineering, and in particular relates to an instrument parameter self-adaptation system and method based on face recognition, an identity recognition system and a vehicle. Background technique [0002] Cars have become a necessity in life, and car instruments are becoming more and more diverse. Since the same car will be driven by different people, everyone will have different settings for instrument information layout, interface style preferences, entertainment system, ADAS and cruise parameters. However, at present, the car instrument can only remember the parameter results of the current driver, and cannot trace the instrument parameters of other drivers, and cannot perform personalized automatic adaptation by identifying the driver's identity. The style and the instrument parameters suitable for oneself, the operation efficiency is low. [0003] In addition, the existing identification metho...

AI Technical Summary

Problems solved by technology

[0002] Cars have become a necessity in life, and car instruments are becoming more and more diverse. Since the same car will be driven by different people, everyone will have different settings for instrument information layout, interface style preferences, entertainment systems, ADAS and cruise parameters. However, at present, the car instrument can only remember the parameter results of the current driver, and cannot trace the instrument parameters of other drivers, and cannot perform personalized automatic adaptation by identifying the driver's identity. The style and the instrument parameters suitable for oneself, the operation efficiency is low

[0003] In addition, the existing identification methods in the automotive industry include smart keys, fingerprint identification, mobile phone Bluetooth keys, login IDs, etc., which need to be identified by means of media or manual operations. Physical media can be passed in the hands of multiple people, so the identification of driving identities is accurate. The accuracy is not high, it is easy to cause the identified identity to be inconsistent with the driver

Usually the key holder and the driver are not the same person, and the login ID account can also be shared by multiple people, resulting in a discrepancy between the identified identity and the actual driver

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