Deep learning-based black smoke blackness detection method and device

A technology of deep learning and detection methods, applied in the field of transportation, can solve the problems of large and expensive equipment, high maintenance costs, and inability to obtain the real normal driving emissions of vehicles, so as to reduce equipment costs and maintenance costs, and achieve accurate calculation results.

Pending Publication Date: 2021-07-13
HANGZHOU HOPECHART
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  • Abstract
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Due to the large and expensive equipment, high maintenance cost, and many limitations of the test conditions, these two methods lead to high cost and low test efficiency.
Moreover, the contact detection method requires the vehicle to be in an abnormal driving state, and cannot

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  • Deep learning-based black smoke blackness detection method and device
  • Deep learning-based black smoke blackness detection method and device
  • Deep learning-based black smoke blackness detection method and device

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Embodiment Construction

[0044] In order to make the purpose, technical solutions and advantages of the present invention clearer, the technical solutions in the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. Obviously, the described embodiments are part of the embodiments of the present invention , but not all examples. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0045] Combine below figure 1 A black smoke blackness detection method based on deep learning of the present invention is described.

[0046] figure 1 It is a schematic flowchart of a method for detecting black smoke blackness based on deep learning provided by an embodiment of the present invention.

[0047] In a specific implementation manner of the present invention, an embodiment of th...

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Abstract

The invention provides a deep learning-based black smoke blackness detection method and device. The method comprises the following steps: acquiring a video stream of a vehicle shot by a camera; inputting a video frame in the video stream into a target detection network to obtain a vehicle position; determining black smoke position information of a black smoke to-be-detected area in the video frame based on the vehicle position; and determining the relative gray scale of the black smoke based on the gray scale value of the black smoke position in the video frame and the background reference image. The video frame in the video stream of the vehicle shot by the camera is processed in a deep learning mode, and the relative gray scale of the black smoke of the black smoke vehicle is calculated by using the background reference image, so that the calculation result is more accurate. Therefore, the black smoke blackness of the black smoke vehicle can be accurately detected in real time, the vehicle does not need to be stopped, and meanwhile, the equipment cost and the maintenance cost are reduced.

Description

technical field [0001] The invention relates to the field of traffic technology, in particular to a deep learning-based method and device for detecting black smoke blackness. Background technique [0002] In recent years, the blackness detection of smoky vehicles mainly includes contact detection and remote sensing detection. Due to the large and expensive equipment, high maintenance cost, and many limitations of the test conditions, these two methods lead to high cost and low test efficiency. Moreover, the contact detection method requires the vehicle to be in an abnormal driving state, and cannot obtain the true normal driving emission of the vehicle. The cost of remote sensing detection is too high, not only the normal maintenance of software and hardware is required, but also the maintenance of standard gas is required, which greatly increases the cost of maintenance. [0003] Therefore, how to propose a detection scheme for a smoky car, which can check the blackness o...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06N3/08
CPCG06N3/08G06V20/41G06V20/46G06V10/56
Inventor 胡仁伟朱海荣顾鹏笠孙兴汪寒
Owner HANGZHOU HOPECHART
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