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A danger warning method, device, equipment and storage medium

A dangerous event and neural network technology, applied in the field of image processing, can solve problems that endanger the safety of drivers and passengers, and achieve the effect of dangerous warning

Active Publication Date: 2022-08-05
HANGZHOU HIKVISION DIGITAL TECH
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  • Description
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Problems solved by technology

These situations may lead to traffic accidents, endangering the safety of drivers and passengers

Method used

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  • A danger warning method, device, equipment and storage medium
  • A danger warning method, device, equipment and storage medium
  • A danger warning method, device, equipment and storage medium

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Embodiment approach

[0268] As an implementation of the embodiment of the present invention, the neural network combination model includes a combination of one or more of the first neural network, the second neural network, and the third neural network;

[0269] Wherein, the first neural network is configured to determine whether a lane departure event occurs according to the input data, and when it is determined that the lane departure event occurs, output an early warning signal corresponding to the lane departure event;

[0270] The second neural network is configured to determine whether a preceding vehicle collision event occurs according to the input data, and when it is determined that the preceding vehicle collision event occurs, output an early warning signal corresponding to the preceding vehicle collision event;

[0271] The third neural network is configured to determine whether a pedestrian collision event occurs according to the input data, and when it is determined that a pedestrian ...

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Abstract

Embodiments of the present invention provide a danger warning method, device, device, and storage medium. The method includes: acquiring continuous multiple frames of video frame images collected by an image acquisition device; preprocessing the video frame images to obtain a target vehicle The feature extraction data is input into the neural network combination model as input data; the neural network combination model determines whether a dangerous event occurs according to the input data, and when a dangerous event occurs, outputs the dangerous event. The warning signal corresponding to the event. The embodiments of the present invention can realize the detection of possible dangers during the running of the vehicle, and improve the safety during the running of the vehicle.

Description

technical field [0001] The present invention relates to the technical field of image processing, and in particular, to a danger warning method, device, equipment and storage medium. Background technique [0002] With the continuous development of the economy and society and the improvement of people's living standards, people rely more and more on cars to travel, and the accompanying traffic safety problems are also increasingly prominent. When the vehicle is driving on the road, it may cause dangers such as lane departure, collision with a preceding vehicle, and pedestrian collision due to various emergencies such as driver fatigue, distraction, and novice on the road. All of these situations may lead to traffic accidents, jeopardizing the safety of drivers and passengers. [0003] Therefore, how to detect possible dangers in the driving process of the vehicle to improve the safety of the vehicle driving process has become an urgent problem to be solved. SUMMARY OF THE I...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06V20/40G06V20/58G06N3/08
CPCG06N3/08G06V20/40G06V20/588G06V20/58G06V20/56
Inventor 余倩黄洋文邝宏武
Owner HANGZHOU HIKVISION DIGITAL TECH
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