YUMYUMPLAYER EVOLUTION ROADMAP
Project Development Roadmap
The engineering strategy of YumYumPlayer is centered on constructing the most resource-efficient media pipeline, completely eliminating heavy transcoding compute requirements. We actively focus on client-side AI parsing and next-generation UDP transport layer protocols.
Phase 1•
Q3-Q4 2026
GPU & Multi-Thread Core
Completed
Development of the core media layer. Integration of WebCodecs API decoding and WebGL2 YUV-to-RGB texture shaders with optimized texSubImage2D memory uploads.
KEY ARCHITECTURE DELIVERABLES
- Asynchronous H.264/H.265 hardware decoding via GPU
- MPEG-TS/fMP4 demuxing completely offloaded to background Web Workers
- Low-overhead WebSocket binary loader (WSLoader) for CCTV grids
- Guaranteed latency profile under 100 milliseconds
Phase 2•
Q1-Q2 2027
WebTransport & Local Encoding
In Development
Implementation of the modern WebTransport protocol (HTTP/3 over UDP) for high-performance concurrent ingestion of hundreds of video feeds on a single tab with zero socket lockouts.
KEY ARCHITECTURE DELIVERABLES
- Full integration of UDP HTTP/3 WebTransport pipelines
- Local GPU recording (WebCodecs encoder) for stream caching
- Client-side clip rendering and safe archiving in the sandbox
- Advanced power-draw optimizations for iOS/Android mobile clients (WebKit)
Phase 3•
Q3-Q4 2027
Edge AI & Decentralized P2P Mesh
Planned
Integration of lightweight neural network layers (e.g. YOLOv8) directly into the rendering pipeline for localized object detection.
KEY ARCHITECTURE DELIVERABLES
- GPU shader-based real-time object classification and motion parsing (Edge AI)
- P2P stream exchange channels utilizing WebRTC Data Channels
- Intranet local mesh relay of live feeds without root node bottlenecking
- AI-driven intelligent buffer sizing based on network noise signatures