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A vehicle anti-theft system based on face recognition

A vehicle anti-theft and face recognition technology, which is applied in the field of vehicle anti-theft systems based on face recognition, can solve problems such as the decline in texture feature description capabilities, and achieve the effect of improving anti-theft performance

Active Publication Date: 2018-12-25
江苏心灵鸡汤信息技术有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the local binary pattern (LBP) texture feature extraction algorithm has played a significant role in the face recognition algorithm, and has the advantage of simple calculation, but the texture feature description ability of the LBP algorithm will decrease sharply in the case of uneven illumination changes. decline

Method used

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  • A vehicle anti-theft system based on face recognition
  • A vehicle anti-theft system based on face recognition
  • A vehicle anti-theft system based on face recognition

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Embodiment Construction

[0017] The present invention will be further described in conjunction with the following application scenarios.

[0018] see figure 1 , a vehicle anti-theft system based on face recognition in the present embodiment includes a face image acquisition module 1, a face image processing module 2, a face database 3 and an ignition control module 4, and the face image acquisition module 1 uses To obtain a face image; the face image processing module 2 is used to process the collected face image, identify the face image, and judge the identity of the driver, and output the face image recognition result; the face image The database 3 is used to store the recorded face image information; the ignition control module 4 is used to control the switch of the vehicle ignition system.

[0019] Preferably, the face image acquisition module 1 includes a camera and a supplementary light; the camera is used for collecting facial images, and the supplementary light is used for supplementary light...

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Abstract

The invention provides a vehicle anti-theft system based on face recognition. The vehicle anti-theft system based on the face recognition comprises a facial image collecting module, a facial image processing module, a facial image database and an ignition control module. The facial image collecting module is used for acquiring a facial image. The facial image processing module is used for processing the collected facial image, recognizing the facial image, judging an identity of a driver and outputting a recognition result of the facial image. The facial image database is used for storing inputted facial image information. The ignition control module is used for controlling opening and closing of an ignition system of a vehicle. According to the vehicle anti-theft system based on the face recognition, the anti-theft performance of the vehicle is improved.

Description

technical field [0001] The invention relates to the technical field of vehicle anti-theft, in particular to a vehicle anti-theft system based on face recognition. Background technique [0002] The vehicle anti-theft system in the related art mainly uses a mechanical anti-theft device or an electronic anti-theft device to lock a certain mechanism on the car so that it cannot play its due role to achieve the purpose of anti-theft. However, both mechanical and electronic anti-theft devices have the disadvantage that the car can be started by the key. When the key is stolen, the anti-theft system of the vehicle will be cracked. [0003] In related technologies, image information with higher quality is obtained by preprocessing face images. Preprocessing the face image can eliminate the noise generated in the transmission process, and at the same time highlight the edge information of the face image, improving the quality of the face image. Currently, Morphology Component Analy...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B60R25/04B60R25/25
CPCB60R25/04B60R25/25
Inventor 杨林
Owner 江苏心灵鸡汤信息技术有限公司