Traffic violation monitoring method based on unmanned aerial vehicle

Abstract

The invention discloses a traffic violation monitoring method based on an unmanned aerial vehicle, and the method comprises the following steps that 1, an inspection route and a monitoring behavior are deployed in a terminal server, the inspection route is realized through a GPS positioning module, fixed-point duty and route inspection are included, and the monitoring behavior comprises vehicle illegal parking, pedestrian violation and vehicle driving violation; 2, the terminal server uploads the inspection route and the monitoring behavior information to an unmanned aerial vehicle control system; 3, an unmanned aerial vehicle control system controls the unmanned aerial vehicle to fly to a fixed-point position; 4, route inspection is carried out by starting an image acquisition and violation inspection system; and 5, an image acquisition and violation inspection system is included. According to the traffic violation monitoring method based on the unmanned aerial vehicle, an imaging device, a machine vision processing unit, a wireless transmission module and a holder are arranged on the unmanned aerial vehicle, traffic detection is carried out on key areas and areas not covered by traffic signal lamps, and the requirement for accurate and rapid law enforcement is met.

Description

technical field [0001] The invention relates to the field of traffic monitoring, in particular to a method for monitoring traffic violations based on an unmanned aerial vehicle. Background technique [0002] Machine vision and unmanned aerial vehicles (UAVs) have been used in most fields as the manifestations of artificial intelligence that have emerged in recent years. The traditional way of recording traffic violations is to deploy a large number of fixed traffic lights and violation detection equipment at the intersection of urban arterial roads. However, these detection There are monitoring blind spots in the equipment, and manual inspections can only be performed at intersections that are not deployed, and it is impossible to deploy and monitor fixed-point target areas in an all-round and fast manner. This traditional method has been unable to meet the real-time, rapid and accurate needs of the traffic supervision department. There is an urgent need for more informatio...

AI Technical Summary

Problems solved by technology

[0002] Machine vision and unmanned aerial vehicles (UAVs) have been used in most fields as the manifestations of artificial intelligence that have emerged in recent years. The traditional way of recording traffic violations is to deploy a large number of fixed traffic lights and violation detection equipment at the intersection of urban arterial roads. However, these detection There is a monitoring blind spot in the equipment, and manual inspections can only be performed at undeployed intersections, and it is impossible to deploy and monitor fixed-point target areas in an all-round and fast manner.

This traditional method can no longer meet the real-time, rapid and accurate needs of the traffic supervision department

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