Dangerous goods vehicle identification method and device, computer storage medium and electronic equipment

A vehicle identification and dangerous goods technology, applied in the field of intelligent transportation, can solve the problems of inability to achieve large-scale and timely supervision, low efficiency, high cost, etc., and achieve the effect of efficient and intelligent identification of dangerous goods vehicles

Pending Publication Date: 2020-11-06
BEIJING DEEPGLINT INFORMATION TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The current management and control methods mainly rely on manpower, which is costly and inefficient
Unable to achieve large-scale and timely supervision

Method used

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  • Dangerous goods vehicle identification method and device, computer storage medium and electronic equipment
  • Dangerous goods vehicle identification method and device, computer storage medium and electronic equipment
  • Dangerous goods vehicle identification method and device, computer storage medium and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0028] figure 1 It shows a schematic flowchart of the implementation of the dangerous goods vehicle identification method in Embodiment 1 of the present application.

[0029] As shown in the figure, the dangerous goods vehicle identification method includes:

[0030] Step 101, acquiring road images;

[0031] Step 102, using the pre-trained multi-stage serial convolutional neural network to identify dangerous goods vehicles in the road image;

[0032] Wherein, the multi-stage serial convolutional neural network includes a first-stage convolutional neural network, a second-stage convolutional neural network, and a third-stage convolutional neural network, and the first-stage convolutional neural network recognizes the road image medium dangerous goods vehicle and its vehicle area; the second-level convolutional neural network recognizes the dangerous goods sign of the vehicle area according to the screenshot of the vehicle area returned by the first-level convolutional neural ...

Embodiment 2

[0098] Based on the same inventive concept, an embodiment of the present application provides a device for identifying dangerous goods vehicles. The principle of solving technical problems of the device is similar to that of a method for identifying dangerous goods vehicles, and the repetition will not be repeated here.

[0099] Figure 6 A schematic structural diagram of a dangerous goods vehicle identification device in Embodiment 2 of the present application is shown.

[0100] As shown in the figure, the dangerous goods vehicle identification device includes:

[0101] An acquisition module 601, configured to acquire road images;

[0102] An identification module 602, configured to identify dangerous goods vehicles in the road image using a pre-trained multi-stage serial convolutional neural network;

[0103] Wherein, the multi-stage serial convolutional neural network includes a first-stage convolutional neural network, a second-stage convolutional neural network, and a t...

Embodiment 3

[0131] Based on the same inventive concept, an embodiment of the present application further provides a computer storage medium, which will be described below.

[0132] The computer storage medium stores a computer program thereon, and when the computer program is executed by a processor, the steps of the dangerous goods vehicle identification method according to the first embodiment are realized.

[0133] Using the computer storage medium provided in the embodiment of the present application, based on the convolutional neural network, can accurately identify various dangerous goods signs on the dangerous goods vehicle body, and realize fully automatic, accurate and efficient intelligent identification of dangerous goods vehicles.

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Abstract

The invention discloses a dangerous goods vehicle identification method and device, a computer storage medium and electronic equipment. The method comprises the steps of obtaining a road image; identifying dangerous goods vehicles in the road image by using a pre-trained multi-stage series convolutional neural network; wherein the multi-stage series convolutional neural network comprises a first-stage convolutional neural network, a second-stage convolutional neural network and a third-stage convolutional neural network, and the first-stage convolutional neural network identifies dangerous goods vehicles and vehicle areas thereof in the road image; enabling the second-level convolutional neural network to identify dangerous goods signs of a vehicle area according to the screenshots of thevehicle area; and enabling the third-level convolutional neural network to identify the vehicle type according to the screenshot of the vehicle area and judge the confidence coefficient of the dangerous goods sign, and the dangerous goods vehicle probability is obtained according to the vehicle type and the confidence coefficient of the dangerous goods sign. By the adoption of the scheme, variousdangerous goods marks on the dangerous goods vehicle body can be accurately recognized, and the dangerous goods vehicle can be intelligently recognized in a full-automatic, accurate and efficient mode.

Description

technical field [0001] The present application relates to intelligent transportation technology, and in particular, to a dangerous goods vehicle identification method, device, computer storage medium, and electronic equipment. Background technique [0002] Dangerous goods transport vehicles are special vehicles for transporting petrochemicals, explosives, firecrackers and other dangerous goods. Because of its high safety requirements and high accident hazards, its control is very strict. [0003] Problems existing in the prior art: [0004] The current management and control methods mainly rely on manpower, which is costly and inefficient. It is impossible to achieve large-scale and timely supervision. Contents of the invention [0005] Embodiments of the present application provide a dangerous goods vehicle identification method, device, computer storage medium, and electronic equipment to solve the above technical problems. [0006] According to the first aspect of t...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06N3/04G06N3/08
CPCG06N3/084G06V20/42G06V20/52G06V2201/09G06V2201/08G06N3/045G06F18/2415G06F18/214
Inventor 牛志博张东萍张德兵周瑞
Owner BEIJING DEEPGLINT INFORMATION TECH
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