View Intelligence Comprehensive Application Solution

Background and challenges

Solution Introduction

Targets

Global Convergence: Promote the networking of public safety video monitoring systems, and integrate video and image resources from various key public areas, industries, and fields Full scale analysis: Provide intelligent full scale analysis, object association, behavior analysis, and structured information extraction of fully correlated target images centered on control objectives such as "people, vehicles, objects, and fields" Full police application: Utilizing video image analysis data to conduct business applications in departments such as public security, traffic police, criminal investigation, and intelligence, providing intelligent comprehensive applications for general, professional, and thematic views of the entire police force

Overview of the plan

Based on cloud computing architecture, structured video data is used as the foundation for clustering and archiving, providing richer and more effective practical applications, enhancing the ability to manage and control people/vehicles, and creating an upgraded transformation of provincial/municipal information construction from "passive investigation after the event" to "proactive warning before the event".
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Logical architecture

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Advantages of the plan

  • Ultra large scale:
    Large scale data access and analysis: 5 million cameras connected, 300000 cameras distributed analysis and clustering (national level);
    Large scale data aggregation and retrieval: Single node access and management of 10 billion structured data, single node support of 1 billion structured data (sliding window) second level response, single node 10 billion level data retrieval second level response;
    Large scale image search: second level response;
    Large scale archive management: 100 million level archives, 1 billion level snapshot details management;
  • High accuracy:
    High accuracy facial algorithms: ZDR, FAR, 1:14E, major competitions, and various POC accuracy are far ahead; High accuracy clustering algorithm: with an accuracy rate of 99.9% under a billion level base database;
    High accuracy ReID: The accuracy of POC testing is much higher than that of competitors;
    High accuracy image search High accuracy facial recognition in complex scenes: wearing masks, severe occlusion, complex lighting, blurred images, cross age;
  • High practicality:
    Big data professional applications: peer analysis, spatiotemporal collisions, one person with multiple vehicles (such as stealing three vehicles), frequent scene appearances;
    Intelligent search professional applications: full-text search, image search, image search files, mixed image search, structured search, association search, comprehensive search, fusion search, etc;
    Application of file features: facial body clustering, file merging, hierarchical clustering, clustering strategy, spatiotemporal clustering, file association analysis, image code fusion, binary fusion;
  • High usability:
    Customized techniques and tactics: conditional touch and match classes, search and match classes, and library related collision classes;
    Ultra high performance technology and warfare application: 100 million level data volume with second level response;
    High availability deployment: large-scale distributed cluster deployment, cloud deployment, container deployment;
    Localization deployment plan: Supports 5 heterogeneous computing solutions (of which 4 are localization solutions).

Relational

Technical support
National Hotline:

400-151-5992

Business Hours: 9:30-18:00 (Beijing time) from Monday to Friday

Business Cooperation: [email protected]
Media Cooperation: [email protected]
Channel Cooperation: [email protected]
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