Video Distribution Accelerator

Solace’s Video Distribution Accelerator helps customers quickly build systems that liberate their live video by transforming it into event-driven data and deliver filtered streams to people and systems that need it for analysis, action and archival. 

By making relevant video available to whoever needs it, such systems enhance real-time situational awareness, optimize data distribution, and enable the addition of AI-driven applications that improve the efficiency, safety and security for smart cities, airports and other public spaces, and industrial environments.  

Key Activities

• Video Distribution Architecture Design: We work closely with you to define a scalable, event-driven video distribution architecture that aligns with your operational and business needs.
• Accelerator Kit Implementation: The Accelerator Kit is deployed and configured to integrate real-time video streams to enable seamless ingestion, routing, and distribution with PubSub+.
• Accelerator Deployment: Includes the implementation and fine-tuning of video streaming features, including deepfake protection, on-demand transcoding, stream replay, and geo-distributed optimization.
• Low-Latency Streaming Optimization: Ensure ultra-low intra-stream latency so all receiving clients experience synchronized video playback.
• Scalability & Cloud Readiness: Deploy containerized, Kubernetes-ready components for flexible and cloud-native video distribution.
• Management & Monitoring Enablement: Provide a customized Management Dashboard for real-time monitoring, lifecycle management, and performance optimization of video streams.
• Go-Live Support & Knowledge Transfer: Assist with production deployment, ensure smooth integration with existing infrastructure, and provide hands-on training for operational teams.

Benefits

• Real-Time Intelligence & Faster Response: Transform live video streams into actionable event-driven data, enabling immediate insights and automated responses for enhanced situational awareness.
• Seamless Integration with IoT & AI: Treat video as a sensor, integrating seamlessly with text, audio, and AI-driven analytics (e.g., facial recognition, anomaly detection) to create a unified, intelligent monitoring system.
• Optimized Performance & Ultra-Low Latency: Ensure all stream-receiving clients experience synchronized video feeds with near-zero latency, providing a consistent and real-time viewing experience.
• Scalable & Future-Ready Architecture: Built for modern cloud-native environments with containerized, Kubernetes-ready deployment, allowing flexible scaling across smart cities, airports, and industrial operations.
• Enhanced Security & Authenticity: Leverage built-in deepfake protection and enterprise-grade security to safeguard live video streams from manipulation, ensuring data integrity and trust.

Outcomes

• Ability to publish/subscribe, queue, replay, and live stream video.
• Consumers can switch live streams by subscribing to different topics.
• Enables application-level video multicast use cases.
• Supports background video analytics (through pub/sub) and raises only critical events (with video) for human inspection.