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Method for diagnosing fault of intelligent traffic capturing equipment based on image abnormal characteristic

A technology for equipment failure and abnormal images. It is applied in the fields of instruments, character and pattern recognition, computer parts, etc. It can solve the problems of low efficiency and difficult fault diagnosis of capture equipment, and achieve high efficiency, good real-time performance and high accuracy. Effect

Active Publication Date: 2012-10-03
ZHEJIANG UNIV OF TECH
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Problems solved by technology

[0009] Aiming at the fault diagnosis of current intelligent traffic capture equipment relying on inhumane and low-efficiency manual processing methods, the present invention based on abnormal image characteristics of intelligent traffic capture equipment fault diagnosis aims to scientifically, accurately and efficiently solve the problem of difficult fault diagnosis of capture equipment

Method used

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  • Method for diagnosing fault of intelligent traffic capturing equipment based on image abnormal characteristic
  • Method for diagnosing fault of intelligent traffic capturing equipment based on image abnormal characteristic
  • Method for diagnosing fault of intelligent traffic capturing equipment based on image abnormal characteristic

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Embodiment Construction

[0044] The present invention will be further described below in conjunction with the accompanying drawings.

[0045] refer to Figure 1 to Figure 11 , a method for fault diagnosis of intelligent traffic capture equipment based on abnormal image features, in this embodiment,

[0046] 1. For common faults of capture equipment, refer to the attached figure 2 .

[0047] 1) The common faults of the camera include: wrong white balance setting, reflection phenomenon in the captured image, wrong angle of the camera installed on the gantry.

[0048] 2) The common faults of the flash are: the flash is broken, the fill light is stopped, the exposure is too high, and the exposure is too low.

[0049] 3) Common failures of the induction coil include: reduced sensitivity, slow reset, etc.

[0050] 2. For common abnormal characteristics of images, refer to the attached image 3 .

[0051] 1) Color abnormality means that the captured image cannot show its color properties normally, whi...

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Abstract

The invention discloses a method for diagnosing the fault of intelligent traffic capturing equipment based on an image abnormal characteristic. An aim of diagnosing the fault of the capturing equipment is fulfilled by a method for intelligently identifying an abnormal image by a computer, so that the complicated and low-efficiency manual diagnosis method is avoided. The method comprises the following steps of: firstly, establishing a mapping relation from the abnormal image to the fault of the equipment, and implementing a high-practicability license plate positioning method based on a color characteristic and a character texture characteristic according to the requirements of normal characteristics; secondly, adopting an abnormal image identification method based on multi-characteristic combination, and researching the adaptability of an identification algorithm; and finally, performing high-observability visualization processing on fault information of complicated comprehensive equipment. According to an equipment fault diagnosis system, fault diagnosis for the capturing equipment can meet requirements on high instantaneity, high accuracy and high efficiency; and a humanized and scientific fault diagnosis method is supplied.

Description

technical field [0001] The invention relates to a method for fault diagnosis of a capture device. Background technique [0002] Intelligent transportation refers to a transportation-oriented service system based on modern electronic information technology. In many fields of intelligent transportation applications, it is necessary to use capture equipment to obtain vehicle images or other traffic information images, such as: expressway speeding detection system, crossing red light violation monitoring system, parking lot intelligent toll system, etc. [0003] Most of the smart traffic capture devices work outdoors and will be tested by their complex and changing environmental factors; at the same time, the devices work at a high frequency, especially when there is a large traffic flow on the road. An overloaded working state; in addition, the limitation of the service life of the equipment itself and the influence of many factors such as equipment quality lead to frequent fa...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 高飞张元鸣肖刚韩政高袁晓阳
Owner ZHEJIANG UNIV OF TECH
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