Road gate monitoring method and system based on human face recognition

Abstract

The invention discloses a road gate monitoring method and system based on human face recognition. The method comprises the steps that image collection is carried out on vehicles of a road gate to obtain vehicle images; according to the obtained vehicle images, vehicle license plate recognition processing is carried out on the vehicles, and query is carried out; according to the obtained vehicle images, human face recognition processing is carried out, and then blacklist database comparison processing is carried out; data obtained through processing are stored in a data package and are transmitted to a background server. The system comprises an image collecting module, a vehicle license plate recognition module, a human face recognition module and a storage module. According to the road gate monitoring method and system based on the human face recognition, suspicious personnel can be stopped in time, surveillance over the suspicious personnel by public security officers is facilitated, manpower and material resources are saved, and working efficiency is improved greatly. The road gate monitoring method and system based on the human face recognition can be widely applied to monitoring systems.

Description

Technical field [0001] The invention relates to the field of image processing, in particular to a road bayonet monitoring method and system based on face recognition. Background technique [0002] With the rapid economic development, the scale of cities is constantly expanding, and the number of urban population and vehicles are also growing rapidly, which puts forward higher requirements for the comprehensive management of urban public security. At present, in order to strengthen the management of vehicles, security checkpoint systems are installed on many roads in cities to effectively restrain and combat illegal vehicles such as robbery, speeding and accidents in the city. However, the current system lacks the function of automatically capturing and querying the faces of personnel inside the vehicle, and cannot compare the blacklists of personnel in real time. It requires the police on duty to manually check the personnel on the vehicle. This is not only a strong work, but als...

AI Technical Summary

Problems solved by technology

However, the current system lacks the function of automatically capturing and querying the faces of people inside the vehicle, and cannot compare the blacklist of people in real time. It requires the police on duty to manually check the people on the vehicle. The efficiency is low, and it is easy to fail to identify suspicious persons in time

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