General Situation and Analysis of Application of Security Technology in Spring Festival Airport

The airport security system is wide-ranging, with many monitoring objects and complex business scenarios. These characteristics determine the complexity and challenge of the airport security monitoring system. Only by making full use of high and new technology, through the combination of civil air defense, technical defense and physical defense, we can solve the problems that the airport security monitoring is constantly facing, and the airport security system is further intelligent and integrated.

In view of the increasing security challenges during the Spring Festival, the need for airport air defense and operational management has become more urgent, and the construction of airport security systems has received unprecedented attention. At the same time, security technology is also developing rapidly, and new technologies are changing with each passing day, which will also provide strong support for airport security monitoring.

First, video intelligence analysis is accurate and efficient

The airport security monitoring system has high requirements and needs to be covered without blind spots. Due to the large number of monitoring devices and the increasingly complex monitoring objects, in the traditional video surveillance mode, airport security personnel need to monitor too many video images, far exceeding the withstand capability, resulting in a reduction in actual monitoring results. Timely assistance in discovering abnormal behaviors and handling them, eliminating potential safety hazards, and ensuring personal and property safety are extremely important for airport safety management.

The airport security monitoring video intelligent analysis technology aims to use the most advanced pattern recognition technology to enhance the intelligent monitoring of the airport, and to detect the abnormal behavior inside and outside the airport through intelligent analysis and processing technology, and automatically alarm, thus reducing the supervision staff. The burden, improve work efficiency, improve monitoring accuracy, and make airport management work more effective. At the same time, combined with the airport security plan, it will respond quickly to emergencies and ensure airport security.

Second, the face capture is better than guard against

The face capture comparison system records and controls people passing through a specific area of ​​the airport. It mainly uses intelligent video automatic analysis, target tracking and recognition technology to capture high-resolution face photos of all personnel in the set area in real time. Face image modeling, attribute feature extraction and other functions, and record the time, direction and other data of the personnel, and finally all transferred to the network transmission system, passed to the airport center management platform, for the airport security management department to achieve a quick search for personnel Investigate and actively discover suspects to achieve the goal of active prevention and control. At the same time, it provides the statistical function of human traffic, through report analysis, diversified combination analysis and deep mining of human flow data, accurately reflecting the trend of human flow, and providing accurate and timely data reference basis for airport management.

The face capture comparison system mainly consists of a front-end image acquisition system, a central analysis management system, a client and an alarm system.

Face capture

The face capture camera is installed at the important entrance and exit of the airport, and then the face image is captured by the face quality scoring algorithm to select the clearest face image as the captured image of the pedestrian.

2. Face recognition

The face comparison recognition mainly uses the face recognition algorithm to model the captured face image, and compares it with the face model in the blacklist database in real time. If the face recognition degree reaches the set threshold, the system The alarm can be automatically performed by means of sound, etc. The airport security management personnel can check the original picture and video by double-clicking the alarm information to verify.

3. Face search

Enter the face photo to be queried in the system, the system automatically detects the face information in the photo and intercepts the face, selects the face to be retrieved, and then performs the similarity, time period and other parameters to start the search, and finally retrieves the The results of similar faces will be displayed on the interface.

4. Query

The face system query includes blacklist alarm query and face snap query, and can quickly query information through time, channel and other related parameters.

The blacklist alarm query can query all alarm events of a certain time period and channel, and can view the alarm detailed information in detail; the face capture query can query all the captured face events of a certain time period and channel, and can view the pictures in detail. Specific capture time points and other information.

Third, video cloud storage Haina Baichuan

With the increasing size of airport video surveillance systems and the large-scale application of high-definition video, the complexity of data and applications that need to be stored in video surveillance systems is increasing, and video data needs to be continuously saved to the storage system for a long time. And require that it can be called at any time, which puts new demands on the reliability and performance of the storage system.

In the airport video surveillance system, the data will show explosive growth. In the face of hundreds of petabytes of massive storage requirements, traditional SAN or NAS will have bottlenecks in capacity and performance expansion, and cloud storage can break through these performance bottlenecks and achieve linear expansion of performance and capacity. For high-availability enterprise users, it is a new choice.

The video cloud storage system adopts a hierarchical structure design. The entire system is logically divided into five layers, namely, device layer, storage layer, management layer, interface layer, and application layer.

The device layer is the most basic and lowest-level part of cloud storage. It consists of standard physical devices and supports standard IP-SAN and FC-SAN storage devices. In the system composition, the storage device may be an FC Fibre Channel storage device under the SAN architecture or an IP storage device under the iSCSI protocol.

The cloud storage stream data system is deployed on the storage layer, and the cloud storage stream data system is invoked to implement mapping of the logical volume or the disk array between the storage transfer protocol and the standard storage device, thereby realizing data (video, picture, auxiliary stream) and device layer. A communication connection between storage devices to complete efficient writing, reading, and invoking of data.

In the management layer, it integrates various core management functions such as index management, plan management, scheduling management, resource management, cluster management, and device management. It can realize logical virtualization management of storage devices, multi-link redundancy management, active delivery of recording plans, and status monitoring and fault maintenance of hardware devices; realize unified management of virtualization of the entire storage system, and implement upper-layer services ( The response of video recording, playback, query, intelligent analysis of data requests, etc.).

The application interface layer is the most flexible and variable part of cloud storage. The interface layer provides a complete and unified access interface for user applications. The interface types can be divided into WebService interface, API interface, and Mibs interface. Different applications can be developed according to actual service types. Service interface, providing different application services. Realize the docking with the industry-specific platform and operation and maintenance platform; realize the docking between the intelligent analysis processing system; realize the operation of storing, retrieving, replaying, browsing and forwarding video data; realizing remote disaster recovery of key video data; implementing equipment and Service monitoring and operation and maintenance.

Logically, except for the application layer, the remaining four layers belong to the general cloud storage category, but in order to more closely integrate the construction and application of the cloud storage system and the video monitoring system, it is more in line with the user's business needs. Incorporating the application layer into the entire system architecture fundamentally improves the targeting of the video cloud storage system.

The airport video monitoring platform can interact with the cloud storage system to configure recording and recording plans, configure storage policies, retrieve video resources, and backup storage of important videos, and assist in accessing streaming data, video data, and image data.

The operation and maintenance platform implements the standard SNMP protocol and provides the Mibs interface to monitor and manage the cloud storage system and services, and deliver the generated alarms to users in a timely manner.

The intelligent analysis platform can be connected with the cloud storage system to realize the reading of the basic data, and the fragment information after the secondary analysis stored, the text information writing and retrieval.

The video cloud storage system is mainly composed of a storage management node and a storage node (physical storage device). The metadata information that needs to be configured in the system is managed by the storage management server. The management node also needs to be responsible for load balancing and failover management functions within the cluster. The video cloud storage system can set up a large number of storage resource pools. The number of restrictions, and the storage capacity can be linear online expansion, performance and capacity expansion can be completed through online expansion.

Fourth, the conclusion

Airport security integration involves a wide range of systems, many monitoring objects, and complex business scenarios. These characteristics determine the complexity and challenges of airport security monitoring systems. Only by making full use of high and new technology, through the combination of civil air defense, technical defense and physical defense, we can solve the problems that the airport security monitoring is constantly facing. The future of the airport security system is becoming more intelligent and integrated. With the continuous introduction of a large number of sensors, the maturity of cloud storage and cloud computing technologies, the airport security monitoring system will develop in the direction of deep integration, comprehensive integration and seamless integration. The future airport security integration system will be more intelligent and more powerful.

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