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A Face Recognition Method Applied to Adaptive Driving Seat

A face recognition and self-adaptive technology, applied in the field of face recognition, can solve the problems of large environmental impact, photo deception, and insufficient recognition rate, and achieve the effects of reducing impact, convenient calculation, and improving efficiency

Active Publication Date: 2021-03-12
南方电网互联网服务有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, the application of face recognition technology is becoming more and more common, but the face recognition technology in the existing technology still has technical defects, such as being greatly affected by the environment, easily deceived by photos, and not suitable for the natural changes of the face, resulting in insufficient recognition rate. advanced questions

Method used

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  • A Face Recognition Method Applied to Adaptive Driving Seat
  • A Face Recognition Method Applied to Adaptive Driving Seat

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Embodiment

[0025] see figure 1 , the present invention is applied to the self-adaptive driving seat, and structurally includes a video acquisition module 101, a face recognition module 102, a host computer control module 103 and an input library function module 104 connected in sequence, wherein the video acquisition module adopts a camera; as figure 2 As shown, the face recognition process specifically includes the following steps:

[0026] S1: Load the face identity feature avatar library;

[0027] S2: Create a face recognition model and train the loaded face recognition library;

[0028] Commands can be issued through IO devices or Bluetooth, WIFI, etc., to record the captured faces into the face recognition library, and add an identity tag number. In addition, the position and posture of the seat at this time can also be memorized, and the position and posture can be packaged into the face recognition library.

[0029] S3: Acquiring video images in the camera;

[0030] This step...

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Abstract

The invention provides a face recognition method applied to self-adaptive driving seats, the steps are: loading a face identity feature avatar library; creating a face recognition model, training the loaded face recognition library; acquiring a video image in a camera ;Use a cascade classifier to detect whether the video image includes face feature information; if it is included, extract the face part to generate a face image; normalize the size of the extracted feature avatar, and perform histogram equalization Processing; use two-dimensional discrete fast Fourier transform to transform the face image from the spatial domain to the frequency domain for feature extraction; put the extracted features in the face recognition library for comparison, if the similarity is higher than the preset threshold , then output the predicted identity label, confirm the identity of the passenger, and start the adaptive driving seat; otherwise, ask whether to enter the face identity. The invention is applied to an assisted driving system of an unmanned vehicle, and cooperates with an adaptive driving seat to perform face recognition accurately, efficiently and quickly.

Description

technical field [0001] The invention relates to the field of face recognition and the field of vehicle auxiliary driving systems, in particular to a face recognition method applied to an adaptive driving seat. Background technique [0002] Face recognition is a biometric technology for identification based on human facial feature information. Use a video camera or camera to collect images or video streams containing human faces, and automatically detect and track human faces in the images, and then perform a series of related image processing technologies on the detected faces, usually also called portrait recognition, facial recognition, etc. identify. At present, the application of face recognition technology is becoming more and more common, but the face recognition technology in the existing technology still has technical defects, such as being greatly affected by the environment, easily deceived by photos, and not suitable for the natural changes of the face, resulting...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V40/168G06V40/172G06V20/593G06V10/50G06F18/22
Inventor 黄文恺朱静詹欣国陈文达何俊峰江吉昌韩晓英吴羽伍冯洁
Owner 南方电网互联网服务有限公司
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