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

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...

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 the vehicle and GPS location information, but because the vehicle is moving, the information provided by the platform is too little for the police to handle the case, which often delays the best golden time for disposal

[0005] 3. Loopholes in supervision due to technical defects often encourage the criminal psychology of criminals and directly cause life safety harm to passengers

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