| With the rapid development of China’s civil aviation industry,airports are facing increasing security pressures.Due to the wide coverage of the airport,the traditional multi-point decentralized monitoring is difficult to control the overall situation of the airport effectively.Massive surveillance videos are fragmented and fragmented.Workers usually need to memorize a large number of camera numbers and their corresponding positions.When a sudden event occurs,once the memory deviation can not quickly view the video of the incident area,it will lead to the delay of the event disposal cycle.In addition,due to the construction of most Airport video surveillance platforms by stages,the unified management of multi-video system platforms can not be realized,the visual display of multi-video resource data can not be effectively integrated,and the effective command basis for decision makers can not be provided.Therefore,it is necessary to display data and give early warning based on intelligent analysis of surveillance video integration platform.Based on the traditional video surveillance platform,this paper mainly elaborates how to process different scenes based on image processing technology,and how to display the video information system.In this paper,the detailed design of access control face recognition module,vehicle information monitoring module,vehicle aircraft recognition module and key area monitoring module are described in detail.Through the monitoring of people,vehicles,aircraft and key areas,the internal situation of the airport can be fully controlled,and the fragmented video can be displayed informationally.Details of early warning information of people,vehicles,aircraft and key areas coming out of the defense area are displayed on B/S website and presented intuitively.It greatly reduces the monitoring intensity of the monitors,and finally achieves the effect of synchronous viewing of video information.In my project,I am responsible for vehicle information module,aircraft information module,access control face recognition module,and key area monitoring module.The requirements analysis,outline design,detailed design,coding implementation of the above four modules are completed and tested and verified.At present,the airport surveillance video intelligent processing platform system has a high degree of auxiliary monitoring role.The accuracy of face recognition is 99.04%,and that of license plate recognition in vehicle information monitoring module is 96.1%.The recognition rate of vehicles and aircraft is 99.29%and that of aircraft is 98,93%.The data missed rate of key regional monitoring module laboratory is less than 0.2%,and the false alarm rate is less than 5%.However,it is still in the process of continuous improvement and optimization,and strives to be put into use in major airports at an early date. |
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