Driver abnormal behavior recognition method, device and equipment and storage medium

A recognition method and driver technology, applied in character and pattern recognition, instruments, biological neural network models, etc., can solve problems such as high labor costs, hidden dangers of normal vehicle operation, and low efficiency, so as to reduce labor costs and reduce serious problems. Consequences, the effect of improving recognition efficiency

Pending Publication Date: 2020-03-03
BYD CO LTD
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  • Abstract
  • Description
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  • Application Information

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Problems solved by technology

[0005] This application provides a method, device, equipment and storage medium for identifying abnormal behavior of drivers, which are used to solve the problem of identifying abnormal behavior of drivers through manual monitoring in related technologies,

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  • Driver abnormal behavior recognition method, device and equipment and storage medium
  • Driver abnormal behavior recognition method, device and equipment and storage medium
  • Driver abnormal behavior recognition method, device and equipment and storage medium

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Embodiment Construction

[0023] Embodiments of the present application are described in detail below, examples of which are shown in the drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below by referring to the figures are exemplary, and are intended to explain the present application, and should not be construed as limiting the present application.

[0024] The various embodiments of the present application aim at the related technologies. When identifying the abnormal behavior of the driver through manual monitoring, not only the efficiency is low but also the labor cost is high. The operation brings the problem of potential safety hazards, and a method for identifying abnormal behavior of drivers is proposed.

[0025] In this embodiment of the present application, by determining the attribute information of the video stream data to be processed, the corresponding targe...

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Abstract

The invention discloses a driver abnormal behavior recognition method, device and equipment and a storage medium. The method comprises the steps that attribute information of to-be-processed video stream data is determined; obtaining a target neural network model corresponding to the to-be-processed video stream data according to the attribute information of the to-be-processed video stream data;and performing recognition processing on the to-be-processed video stream data by using the target neural network model to determine whether the to-be-processed video data includes driver abnormal behavior data. According to the method, the neural network model is used; the abnormal behaviors of the driver in the acquired video stream data are automatically identified. Therefore, when it is determined that the driver behavior is abnormal, timely early warning is carried out, so that the control center can take remedial measures in time to reduce serious consequences caused by emergencies, thelabor cost can be reduced, the recognition efficiency can be improved, and conditions are provided for safe operation of the vehicle.

Description

technical field [0001] The present application relates to the technical field of safe driving, and in particular to a method, device, device and storage medium for identifying abnormal driver behavior. Background technique [0002] With the increasing improvement of the rail transit system, intelligent traffic monitoring has become the core development direction of rail transit. In particular, it is of great social significance to monitor the driver's abnormal behavior to avoid safety accidents. [0003] In practical applications, the following methods are usually used to monitor the abnormal behavior of drivers: first, two drivers are equipped in one cab to reduce safety risks; second, the monitoring system is used to obtain video stream data in the cab , and upload the video stream data to the monitoring center, so that the staff of the monitoring center can check in real time to determine whether the driver has abnormal behavior. [0004] However, the above-mentioned me...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06N3/04
CPCG06V20/41G06V20/597G06N3/045
Inventor 刘国民
Owner BYD CO LTD
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