Intelligent monitoring and identification method for vehicles exhausting black smoke based on image processing technology

Abstract

The invention discloses an intelligent monitoring and identification method for vehicles exhausting black smoke based on an image processing technology. The method comprises the following steps: S1, using a video capture card to collect a high-definition real-time video data stream of a traffic checkpoint; adjusting the time of interval sampling according to the degree of pavement change by use of a variable-interval background mean sampling technology, and extracting payment background information by use of a multi-frame image mean algorithm; S3, according to the collected video stream, removing small vehicles and non-motorized vehicles from each frame of image in real time by use of a small vehicle filtering algorithm, so as to reduce the amount of data of image processing and improve the efficiency of the algorithm; S4, positioning tail flue gas of large vehicles in each frame of image; and S5, comparing the data of a positioning area image and the data of a background area image of exhaust gas emission to judge whether the vehicles are vehicles exhausting black smoke. The intelligent monitoring and identification method for vehicles exhausting black smoke disclosed by the invention can improve the detection efficiency. Whether a vehicle exhausts black smoke is judged by use of the computer technology.

Description

technical field [0001] The invention relates to the field of image pattern recognition and intelligent transportation, in particular to a method for identifying whether a vehicle emits black smoke by using image processing technology in an intelligent transportation system, especially for large-scale engineering vehicles and vehicles with excessive emissions. Background technique [0002] The pollution of smoky vehicles has always been the focus and difficulty of motor vehicle environmental protection. At present, the phenomenon of diesel vehicles emitting black smoke is still very serious. 80% of motor vehicle pollutants in a city are emitted by 20% of high-pollution vehicles, of which medium and heavy Diesel vehicles are big emitters. The pollutants emitted by a heavy-duty diesel vehicle are equivalent to the emissions of 500 small cars 1:300~500. A city that manages 10,000 heavy-duty diesel vehicles is equivalent to managing 3-5 million small cars. Therefore, it is an i...

AI Technical Summary

Problems solved by technology

[0003] There are mainly two traditional management methods for smoky vehicles, one is the manual road inspection mode, and the other is the manual viewing surveillance video mode. Although the two modes reduce the pollution of smoky vehicles to a certain extent, due to the With the sharp increase in ownership and the heavy traffic, not only the efficiency of stopping vehicles and checking videos manually is low, but also there are many difficulties. The environmental protection of motor vehicles urgently needs an online monitoring mode with a high degree of automation.

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