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
View PDF4 Cites 22 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

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 im

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • 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

Examples

Experimental program
Comparison scheme
Effect test

Example Embodiment

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

[0045] Reference Figure 1~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 attachment figure 2 .

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

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

[0049] 3) Common faults of induction coils include: reduced sensitivity, slow reset, etc.

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

[0051] 1) Color abnormality means that the color cannot be displayed normally in the captured image, which is n...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

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

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G06K9/62
Inventor 高飞张元鸣肖刚韩政高袁晓阳
Owner ZHEJIANG UNIV OF TECH
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap