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Designing intelligent video conferencing systems for medium to large-scale deployment environments introduces multiple technical constraints at both the hardware and system integration levels. Traditional systems often rely on fixed-angle cameras and limited autofocus mechanisms, leading to inconsistent framing and slow speaker switching.
Accurate speaker tracking typically requires external tracking cameras or centralized control systems, increasing both system complexity and deployment cost. In addition, achieving consistently high-quality 4K video across varying lighting conditions and room sizes presents challenges for conventional ISP pipelines, particularly when multiple camera feeds must be processed simultaneously.
Audio acquisition presents another challenge. Omnidirectional microphones without beamforming and audio pre-processing result in poor voice isolation, with background noise and echo reducing intelligibility—especially in multi-speaker or acoustically reflective environments. Latency is another critical factor: systems that rely on cloud-based inference suffer from variable network delays, resulting in asynchronous visual and audio responses, degrading the overall user experience.
Scalability also poses a system-level problem. Many deployments require tailored configurations: dual-screen output for standard boardrooms, or triple-screen support for hybrid conferencing and broadcasting use cases. However, most existing solutions lack flexible module-level compute resources and I/O interfaces to accommodate these differing requirements without significant hardware redesign. Additionally, the need to reduce system footprint while maintaining thermal and power efficiency adds further integration constraints for OEMs and device designers.
SIMCom AI Modules: Integrated Edge AI Architecture for Solving System-Level Constraints
Selecting the appropriate AI module for a smart video conferencing system depends on key deployment parameters: room size, participant count, expected video layout complexity, required camera angles, and concurrent AI workload density (e.g., number of tracked individuals, concurrent streams, output displays). SIMCom provides a tiered portfolio to accommodate these varying needs.
SIMCom's AI computing modules—SIM9630L-W, SIM9650L-W, and SIM9850—provide a tightly integrated edge-AI platform optimized for high-performance video conferencing applications. Based on QCS5430, QCS6490, QCS8550, these modules deliver scalable AI computing ranging from 3 to 48 TOPS, enabling on-device execution of deep learning models for human detection, facial recognition, gesture analysis, voice localization, and multi-speaker tracking.
By performing AI inferencing locally, SIMCom's AI computing modules eliminate reliance on remote/cloud computation, significantly reducing end-to-end system latency. Real-time multi-stream processing is supported through native ISP and hardware-accelerated video pipelines, with capabilities for simultaneous encoding/decoding of multiple 4K video feeds. This enables systems to ingest and process up to 8 concurrent camera streams (SIM9850), providing panoramic, subject-tracking, audience, and auxiliary viewpoints without performance degradation.
In terms of audio, integrated support for multi-microphone beamforming, noise suppression, and echo cancellation allows precise spatial audio capture. These features are particularly effective in rooms with complex acoustic characteristics or high occupancy rates. The modules also support dual or triple 4K display outputs (via MIPI-DSI and DisplayPort), enabling flexible output layouts such as side-by-side speaker tracking and content sharing, or control-room preview and audience display in large auditoriums.
Connectivity is also fully integrated: SIMCom modules provide Wi-Fi, Bluetooth 5.x, and high-speed USB/PCIe interfaces for rapid data transmission between subsystems. The hardware platform is optimized for compact system integration, featuring power-efficient CPU+NPU architecture, thermal management through passive cooling, and modular software SDKs for AI model deployment and camera/microphone calibration.
Together, these capabilities allow SIMCom modules to solve key problems in smart conferencing system design—enabling AI-powered, all-in-one video bar systems with low latency, high flexibility, and scalable performance across diverse deployment scenarios.
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