RM新时代有限公司

Comprehensive Intelligent Video Analytics Solution

Background and Challenges

Solution Introduction

Construction Objectives

Comprehensive Convergence: Promote the networking of public security video surveillance systems, integrating video image resources from key public areas, key industries, and domains. Full Analysis: Provide full-scale intelligent analysis, object association, behavior analysis, and structured information extraction for control targets such as "people, vehicles, objects, and places." Full Police Application: Utilize video image analysis data for business applications in departments such as public security, traffic police, criminal investigation, and command center, providing common, professional, and specialized intelligent video applications for all police forces.

Solution Overview

Based on cloud computing architecture, using structured video data as the foundation, and performing clustering and archiving, it provides richer and more effective practical applications, enhancing the ability to manage people and vehicles, and enabling the transformation of provincial/city informatization from "passive post-incident investigation" to "proactive pre-incident warning."

Logical Architecture

Solution Advantages

  • Ultra-Large Scale: Ultra-large scale data access and analysis: 5 million cameras access, 300,000 cameras distributed analysis and archiving (national level). Ultra-large scale data aggregation and retrieval: Single node accesses and manages 10 billion structured data, supports 10 billion structured data (sliding window) with second-level response, and 100 billion data retrieval with second-level response. Ultra-large scale image search: Second-level response. Ultra-large scale image-to-archive search: Second-level response. Ultra-large scale archive management: Billion-level archives, 10 billion-level snapshot detail management.
  • High Accuracy: High-accuracy face algorithms: Leading in ZDR, FAR, 1:14E, major competitions, and various POC tests. High-accuracy clustering algorithm: 99.9% accuracy on billion-level databases. High-accuracy ReID: POC test accuracy far exceeds competitors. High-accuracy image search. High-accuracy face recognition in complex scenes: Mask-wearing, heavy occlusion, complex lighting, blurry images, cross-age, etc.
  • High Practicality: Big data professional applications: Companion analysis, spatiotemporal collision, one-person-multiple-vehicles (e.g., stolen vehicles), frequent scene appearance, etc. Smart search professional applications: Full-text search, image search, image-to-archive search, mixed image-archive search, structured search, associative search, comprehensive search, fusion search, etc. Archive featured applications: Face-body archiving, archive merging, hierarchical clustering, archiving strategy, spatiotemporal clustering, archive association analysis, image-code fusion, two-number fusion.
  • High Usability: Custom tactical methods: Condition screening, image screening, database collision. Ultra-high performance tactical applications: Second-level response on billion-level data. High-availability deployment: Ultra-large distributed cluster deployment, cloud deployment, containerized deployment. Domestic deployment solutions: Supports 5 heterogeneous computing solutions (4 of which are domestic).

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