Preview Stream
The Preview Stream component will provide real-time video streaming capabilities, enabling remote monitoring, replay analysis, and live broadcast integration for Digital Wall Ball Target events with minimal latency and high-quality video delivery.
Purpose and System Role
The Preview Stream will serve as the visual verification and broadcast integration layer, providing real-time video feeds with AI detection overlays for judges, broadcasters, and remote monitoring systems. It will enable instant replay capabilities for disputed calls, support remote judging scenarios, and integrate with existing broadcast infrastructure for enhanced viewer experience.
This component will handle multiple concurrent video streams with different quality levels and overlay options, adapting to available bandwidth and client capabilities while maintaining synchronization with detection events and timing systems.
Technical Implementation Approach
Built using WebRTC (real-time communication protocol) and HLS streaming protocols (adaptive video delivery), the Preview Stream will use hardware-accelerated video encoding through NVIDIA GPU acceleration and Intel Quick Sync Video for optimal performance. The implementation will support adaptive bitrate streaming (automatic quality adjustment) with multiple quality tiers automatically selected based on network conditions and client device capabilities.
Real-time video processing pipeline will overlay AI detection indicators, confidence scores (accuracy ratings), and timing information directly onto video streams using GPU-accelerated graphics rendering. Low-latency streaming will maintain sub-200ms glass-to-glass delay (camera to screen time) for real-time monitoring applications while providing higher-quality buffered streams for broadcast integration.
Communication Protocols and APIs
The streaming architecture will implement multiple protocols optimized for different viewing scenarios and technical requirements.
WebRTC Connections (peer-to-peer video communication) will provide ultra-low-latency streaming for real-time monitoring with automatic NAT traversal (network routing) and adaptive quality control, essential for live judging applications.
HLS and DASH Protocols (adaptive streaming standards) will support scalable distribution to multiple viewers with CDN (Content Delivery Network - global content distribution) integration enabling global reach for broadcast applications.
RTMP Endpoints (broadcast streaming protocol) will enable seamless integration with existing broadcast systems and streaming platforms used by venue operators.
API Endpoints will control stream configuration, recording parameters, and overlay settings with real-time adjustments through WebSocket connections.
Authentication and Authorization systems will ensure secure access to video streams through role-based permissions for judges, broadcasters, and venue operators.
Data Flow and Formats
Raw video feeds will undergo real-time processing with AI detection overlays, timing displays, and optional privacy masking for spectator areas. Multiple output formats will include H.264/H.265 encoded streams (video compression standards) at various resolutions and bitrates, with automatic format negotiation based on client capabilities and network conditions.
Synchronization mechanisms will align video streams with detection events and timing data using precision timestamps and frame-accurate correlation. Metadata streams will provide additional context including camera angles, detection confidence levels, and system status information embedded within video stream headers.
Error Handling and Resilience
Comprehensive error handling will include automatic stream recovery from network interruptions, fallback quality levels for poor network conditions, and buffer management to prevent stream delays during high-demand scenarios. Redundant streaming paths will ensure continued operation during individual component failures.
Health monitoring will track stream quality metrics, viewer connections, and system resource use with automated alerting for performance degradation. Emergency recording capabilities will capture critical moments even during streaming failures, with automatic upload to backup storage systems for post-event analysis.