Unmanned-aerial-vehicle-based automatic identification and early warning method for vendors in no-peddler area

Abstract

The invention provides an unmanned-aerial-vehicle-based automatic identification and early warning method for vendors in a no-peddler area. The unmanned-aerial-vehicle-based automatic identification and early warning method comprises the following steps: obtaining an aerial shooting image of the no-peddler area in a city in a jurisdiction range, and extracting a plurality of pixel areas from the image as feature comparison elements; collecting feature images of various roadside vendors in the market at various angles, acquiring feature image information of a plurality of vendors, and extracting vendor feature image spots from pixel areas of the image images according to the feature image information of the vendor, wherein the unmanned aerial vehicle is used for aerial photography of the jurisdiction no-peddler area to obtain an aerial photography picture; obtaining a plurality of pixel areas in the aerial image; and comparing and identifying suspected vendor image spots in the pixel region of the aerial photo with vendor feature image spots in a feature library, and when a threshold value of an identification matching result is greater than a set threshold value, giving an alarm. Through an artificial intelligence mode, the vendors in the no-peddler area are rapidly positioned, and the pressure on city management is reduced.

Description

technical field [0001] The invention relates to the technical field of artificial intelligence, in particular to a method for automatic identification and early warning of vendors in areas where stalls are prohibited based on drones. Background technique [0002] With the rapid development of urban construction, the problem of relatively lagging urban management has become increasingly prominent, which has restricted the development of construction benefits to a certain extent and hindered the improvement of the overall level of urbanization. Despite the repeated efforts of urban management, they are helpless in the face of a series of problems such as insufficient management power, few management methods, little law enforcement protection, and little understanding and support from the masses. [0003] The workload of urban management is complex, manpower and material resources are in short supply, and those who violate the rules are lucky. The traditional method is to insp...

AI Technical Summary

Problems solved by technology

The traditional method is to inspect by manpower or driving law enforcement vehicles, which requires a lot of manpower and equipment costs, and a large workload, and the vendors will pack up and flee or even violently resist when they see the law enforcement officers from a long distance, making it difficult to obtain evidence Difficult to enforce the law, difficult to cure and many blind spots, which put a lot of pressure on urban management

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