Illegal parking surveillance system based on cloud computing

Abstract

The invention relates to an illegal parking surveillance system based on cloud computing. The illegal parking surveillance system comprises an illegal parking cloud platform and a plurality of drones.Each of the drones comprises a processor, an onboard sensor, and an interaction component. The illegal parking cloud platform comprises a virtual device engine, a camera control module, a virtual sensor, and a virtual interaction controller. The drone transmits initial data collected by the onboard sensor to the illegal parking cloud platform; the virtual sensor converts the initial data into initial redirect data; the virtual device engine converts and sends the initial redirect data to the camera control module; the camera control module generates a virtual action command after performing image recognition and analysis on the converted data; the virtual device engine receives the virtual action command and sends it to the virtual interaction controller; and the virtual interaction controller converts the virtual action command into an actual action command compatible with the interaction component of each of the drones, and transmits the actual action command via the network to enable the interaction component of each of the drones to execute an illegal parking photographing task.

Description

technical field [0001] The invention relates to the fields of cloud computing and traffic violation data collection, in particular to a traffic violation inspection system based on cloud computing. Background technique [0002] With the rapid increase of vehicle ownership in major cities in my country, traffic problems have gradually become a difficult problem in urban management, restricting the development of urban economy. Ignoring objective reasons such as the increase in the number of cars and narrow roads, the lack of police force, vehicle violations, and illegal parking are the main reasons for the increase in urban traffic pressure. At present, a large number of fixed traffic detection devices are deployed on the main roads and expressways in the city, but these devices have monitoring blind spots and cannot monitor the image information obtained by each camera in an all-round way. This traditional monitoring method can no longer meet the needs of rapid urban develo...

AI Technical Summary

Problems solved by technology

[0004] However, the battery capacity of existing drones is limited, and the power system during flight needs to consume a large amount of electricity

When all the data processing and flight control of the drone are placed on the drone itself, the related power consumption will be very large, which will greatly shorten the working time of the drone, which is not conducive to long-term stable work

If the battery capacity is increased in order to prolong the battery life, the self-weight of the UAV will increase significantly, and the related flight components will also need to be improved, which will significantly increase the cost of UAV equipment.

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