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Converged Communication Distributed Digital Video Matrix System: Intelligent Display and Control Hub for Global Video Resources

📅Mar 12, 2026
Brief:The Converged Communication Distributed Digital Video Matrix System, centered on the IDM MCC680 distributed digital video matrix system, builds an integrated video display and control architecture of "global resource scheduling + high-performance hardware support + AI intelligent enhancement," providing flexible, efficient, and intelligent video management and control capabilities for multi-region collaborative command and cross-node information sharing.
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The Converged Communication Distributed Digital Video Matrix System, centered on the IDM MCC680 distributed digital video matrix system, builds an integrated video display and control architecture of "global resource scheduling + high-performance hardware support + AI intelligent enhancement," providing flexible, efficient, and intelligent video management and control capabilities for multi-region collaborative command and cross-node information sharing.

I. Flexible Scheduling and Collaborative Display of Global Video Resources

I. Flexible Scheduling and Collaborative Display of Global Video Resources

Supports intelligent management and control of the full process for multiple HD video signals, enabling efficient signal resource flow and multi-scenario collaborative presentation:

- Capable of flexible scheduling, free switching, millisecond-level seamless switching, and large-screen splicing display of multiple video signals, allowing rapid switching between observation point views and splicing of global situational scenes based on command requirements, meeting the unified command and collaborative display needs of multi-region command centers, multiple observation nodes, and multiple display terminals;

- Adopts a decentralized deployment architecture, breaking the physical limitations of traditional matrices, achieving networked sharing and visualized management of video resources. Command personnel can remotely allocate video signals from any node through a unified platform, significantly improving the response efficiency of cross-region collaborative command.

II. High-Performance Multi-Core Hardware Engine: Low-Latency Stable Support in High-Concurrency Scenarios

Equipped with the flagship RK3588 processor, building a "CPU+GPU+NPU" multi-core collaborative computing platform to provide robust hardware support for video processing:

- The high-performance CPU ensures efficient and stable system scheduling and data transmission; the independent graphics processing GPU achieves smooth decoding and rendering of 4K/8K high-resolution video; the intelligent NPU engine accelerates AI video algorithm execution;

- Supports hardware-level video encoding and decoding technology, maintaining low-latency transmission and high-stability operation even in complex scenarios with dozens of concurrent signal streams and high-frame-rate continuous transmission, ensuring command images are free of stutter and delay, accurately reproducing the real on-site situation.

III. AI Intelligent Enhancement: Dual Upgrade of HD Video and Intelligent Analysis

Leveraging NPU computing power, achieving the value upgrade of video processing from "HD presentation" to "intelligent empowerment":

- Features AI audio/video enhancement and intelligent noise reduction, automatically optimizing image clarity in complex field environments and suppressing background noise, significantly improving video communication quality;

- Supports AI target detection and intelligent image optimization, automatically identifying key targets in the frame (such as launch equipment, personnel movements, etc.) and highlighting them, assisting command personnel in quickly capturing core information and providing intelligent support for decision-making.

IV. Full-Scenario Adaptation: Video Management and Control from Routine Command to Extreme Environments

With distributed architecture and high-performance hardware, comprehensively covering various video display and control scenarios:

- Meets routine needs for daily command & dispatch and multi-node information sharing, while also supporting video management and control in extreme scenarios such as complex field environments and high-concurrency observation tasks, providing stable and intelligent video display and control support for critical missions like rocket launches and emergency rescue.