A vehicle tail smoke detection method and system

Abstract

The embodiment of the invention provides a vehicle tail smoke detection method and system, and the method comprises the steps: carrying out the gray value subtraction of the corresponding pixel pointsin a current frame image and a background frame image, and obtaining a vehicle moving target image; Wherein the vehicle moving target image comprises a moving target area, and pixel values of pixel points in the moving target area are set pixel values; setting an upper observation strip and a lower observation strip in the vehicle moving target image, conducting connected region marking on pixelpoints with the pixel values being set pixel values in the upper observation strip, and conducting connected region marking on pixel points with the pixel values being set pixel values in the lower observation strip; And according to the communication area in the upper observation strip and the communication area in the lower observation strip, judging whether the vehicle in the moving target areadischarges the tail smoke or not. Compared with a manual observation method adopted in existing counting, the method has the advantages that the manpower input is reduced, the influence of observer experience on the detection result is avoided, and the detection efficiency and the detection accuracy are improved.

Description

technical field [0001] Embodiments of the present invention relate to the field of image detection, and more specifically, to a method and system for detecting vehicle exhaust smoke. Background technique [0002] With the increasing number of automobiles and the rapid average annual growth rate, the exhaust pollution produced by them is also becoming more and more serious, becoming the main source of pollution in big cities. Therefore, it is necessary to strictly monitor the emission of automobile tail smoke, so as to effectively reduce the emission of automobile pollutants and reduce the harm of tail smoke to the environment. In addition, the efficient detection of vehicle exhaust has great social and economic value for many aspects such as traffic safety, environmental protection, and transportation cost reduction. In order to detect vehicle exhaust, in the prior art, a widely used exhaust detection method mainly relies on manual observation. This method needs to manuall...

AI Technical Summary

Problems solved by technology

This method needs to manually find and record the vehicles with exhaust smoke, and then manually analyze the collected images and videos, which requires a lot of manpower

Moreover, the entire manual observation process is heavily dependent on the experience of the observer, and the interpretation is highly subjective and has poor accuracy.

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