Safety-graded in-vehicle driver and passenger conflict identification method
A conflict recognition and security technology, applied in character and pattern recognition, speech analysis, instruments, etc., can solve problems affecting travel experience and personal safety, increase the degree of harm, etc., to improve recognition accuracy, improve accuracy, and enhance safety. Effect
Pending Publication Date: 2022-03-25
上海赛可出行科技服务有限公司
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[0002] At present, there are physical conflicts between online car-hailing drivers and passengers, which escalate and lead to vicious incidents, which affect the travel experience and individual safety. The mainstream safety detection methods mainly rely on the alarm during and after the incident and the intervention of the online car-hailing platform. The car-hailing platform is a passive sensing method, and it cannot perceive the evil incidents immediately, which increases the degree of harm
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[0039] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.
[0040] see figure 1 , the present invention provides a technical solution: a method for identifying driver-passenger conflicts in a safety-graded vehicle, comprising the following steps
[0041] S1. Collect video and sound data in the car through the car networking equipment: specifically, install the car networking device near the rearview mirror of the car. For video, the sound data in the car is collected through the tape recorder, and the collected video ...
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The invention relates to the technical field of online car-hailing, and particularly discloses a safety-graded in-car driver and passenger conflict identification method, which comprises the following steps: S1, collecting in-car video and sound data through car networking equipment; s2, sound data sample and coding processing; s3, constructing a machine learning emotion recognition model; s4, training a machine learning emotion recognition model; s5, carrying out video data sample and coding processing; s6, constructing a machine learning action recognition model; s7, training a machine learning action recognition model; s8, performing safety grading according to emotion recognition and action recognition; according to the in-vehicle driver and passenger conflict recognition method based on safety grading, the problems of in-vehicle limb conflict and safety grading are solved, emotion recognition and action recognition are used in the method, and the conflict recognition accuracy can be improved; the method has the advantages that the security is graded, and different strategies can be formulated through different grades.
Description
technical field [0001] The invention relates to the technical field of online car-hailing, in particular to a security-graded method for identifying driver-passenger conflicts in a car. Background technique [0002] At present, there are physical conflicts between online car-hailing drivers and passengers, which escalate and lead to vicious incidents, which affect the travel experience and individual safety. The mainstream safety detection methods mainly rely on the alarm during and after the incident and the intervention of the online car-hailing platform. The car-hailing platform is a passive perception method, and it cannot perceive the evil incidents immediately, which increases the degree of harm. Contents of the invention [0003] The purpose of the present invention is to provide a method for identifying driver-passenger conflicts in a safety-graded vehicle, so as to solve the problems raised in the above-mentioned background technology. [0004] In order to achiev...
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IPC IPC(8): G06Q10/02G06Q50/30G06V20/40G06V40/20G06N3/04G10L17/26
CPCG06Q10/02G10L17/26G06N3/044G06Q50/40
Inventor 赵刚
Owner 上海赛可出行科技服务有限公司