Third-party riding and driving safety automatic alarm method based on image processing

A safe, automatic, image processing technology, applied in alarms, biological neural network models, transmission systems, etc., can solve problems such as regulatory loopholes, delays in handling prime time, and passenger life safety injuries

Pending Publication Date: 2018-12-11
深圳市尼欧科技有限公司
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AI Technical Summary

Problems solved by technology

[0003] 1. The safety prevention mechanism of the online car-hailing platform is unfavorable. The platform has layers of approvals for accident alarm handling and vehicle information monitoring. The internal supervision process leads to delays in the police's immediate disposal
[0004] 2. Online car-hailing technology supervision can only provide the general characteristics of...

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  • Third-party riding and driving safety automatic alarm method based on image processing
  • Third-party riding and driving safety automatic alarm method based on image processing
  • Third-party riding and driving safety automatic alarm method based on image processing

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Embodiment Construction

[0038] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0039] see figure 1 , figure 2 , image 3 , the present invention provides a third-party driving safety automatic alarm method based on image processing, which is divided into a multi-task deep learning human behavior detection model training phase and a human behavior testing phase, the human behavior testing phase is based on the multi-task The multi-task deep learning human behavior detection model generated in the deep learning human behavior detection model training stage performs human dangerous behavior detection, wherein, the multi-task deep learning human behavior detection model training stage is trained through a multi-task convolutional neural network framework A multi-task deep learning human behavior detection model is developed, and the human behavior loss function, human behavior posture loss function, other human feature p...

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Abstract

The invention discloses a third-party riding and driving safety automatic alarm method based on image processing, and the method comprises two stages: a multi-task deep learning body behavior detection model training stage and a body behavior testing stage. The body behavior testing stage comprises the steps: performing the detection of a dangerous behavior of a body based on a multi-task deep learning body behavior detection model, and calculating a body behavior loss function, a body behavior attitude loss function, a loss function of other feature points of the body and a total loss function according to the multi-task deep learning body behavior detection model. When an online car-hailing service order is generated, a riding and driving safety automatic alarm device installed in a vehicle can be automatically excited, and a built-in wide-angle high-definition camera starts to work: firstly collecting a face image of a driver, comparing with the driver image data stored in an onlinecar-hailing platform, checking the identity information of the driver, and entering the body behavior testing stage. The method can perform the automatic early warning when a driver has an abnormal behavior, can effectively reduce the illegal criminal activities of the online car-hailing services and enables the risk of the life and property safety to be minimized.

Description

technical field [0001] The invention relates to the field of third-party ride safety of operating vehicles, in particular to an image processing-based third-party ride safety automatic alarm method. Background technique [0002] At present, the accident exception handling mechanism of the online car-hailing platform is that when the victim feels threatened in advance, through the emergency contact or the emergency call on the mobile phone APP, the call is made or a text message is sent to the contact platform, and the emergency contact receives the emergency call or message After that, call the police and contact the online booking platform to obtain the location information of the vehicle involved in the accident. The platform needs to provide the location and characteristics of the vehicle involved so that the public security can dispatch the police to deal with it. Although relevant mechanisms are in place, security incidents still occur frequently. The main reasons are a...

Claims

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Application Information

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IPC IPC(8): G08B21/02G08B25/10H04L12/58H04N7/18H04W4/14G06N3/04G06K9/00
CPCH04L51/04H04N7/18H04W4/14G08B21/02G08B25/10G06V40/20G06N3/045
Inventor 王东明黄庆毅
Owner 深圳市尼欧科技有限公司
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