Device-Cloud Synergy, Matrix Intelligence
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Resources: Cross-Level, Elastic Scheduling
When there are insufficient resources in a particular area, a resource collaboration request can be sent to the center node. which shares resources on demand, and creates multiple data analysis tasks. It then sends the analysis results including features and structured data to the lower-level departments.
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Data: On-Demand Data Aggregation with Accelerated Search Functions
The distributed search function of the CloudIVS enables each area to return valuable data such as key time segments, accompanying vehicles, and people that frequently enter or exit a place – all in a matter of seconds. This helps big data analytics to integrate data from multiple sources and make a more comprehensive analysis.
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Algorithms: Unified Management and On-Demand Dynamic Loading
The center builds an open-ended algorithm ecosystem to implement unified management and integrated, innovative algorithms. Based on requirements, each area dynamically loads and continuously iterates algorithms online in order to focus on their practical businesses.
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Tasks: Data Anonymization for Cross-Domain Object Tracking
The center creates alert tasks with sensitive data that is encrypted and anonymized, allowing for multi-level task collaboration across areas, platforms, and algorithms. In this way, an object can be tracked in real time on the entire network, significantly improving cross-domain analysis efficiency.
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Intelligent Campus