COSIB
End-to-End Unified Single Frame Broadcast: COSIB
A server-side revolution in live broadcast architecture. The next-generation broadcasting standard that solves complexity at the center and brings power to the field.
Centia Ecosystem: The Big Data Tsunami
Today's media and security ecosystem is a massive data pool. Centia's AI-powered Big Data platform makes sense of this chaos in seconds with Petaflops of processing power.
Audio Data
(Real-Time Analysis)
Face Recognition
(Biometric Matching)
Object Detection
(Content Classification)
Bottleneck in the Field:
Resource Consumption Crisis
Attempting to watch hundreds of live streams on a single edge device using traditional methods is an operational dead end. Client-Side Multi-Decoding locks up the device.
Broadcast Streams
(Network Overhead)
(CPU/GPU Paralysis)
and Latency
Paradigm Shift: Client vs. Server
| Performance Metric | Traditional Model (Client-Side Multi-Decoding) | COSIB Model (Server-Side Centralized Composition) |
|---|---|---|
| 🌐 Network Traffic | 100 Cameras = 100 Separate Data Streams (Critical Load) |
100 Cameras = 1 Optimized Data Stream (Ultra Lightweight) |
| ⚙️ CPU / GPU Load | %90+ (Overheating and Freezing) | %5-10 (Standard video playback load) |
| 🔋 Battery Consumption | Depletes within hours | Uninterrupted all-day operation |
| ⏱️ Latency and Synchronization | Asynchronous with high latency | Synchronized with millisecond precision |
What is
COSIB (Combined Single Frame Broadcast)?
Complete rejection of the traditional "client-side multi-decoding" model.
(Master Canvas)
COSIB leaves all the computational load on the server, delivering only a single high-resolution, lightweight, and comfortable standard video stream to the edge device.
It keeps the complexity at the center and delivers the power to your fingertips.
Stage 1: Multi-Protocol Ingest & Synchronization
Asynchronous streams coming from different network protocols and different frame rates (FPS) are collected on the server side.
Specially developed Jitter Buffer algorithms synchronize these complex streams with millisecond precision and arrange them in perfect order for the next stage.
Jitter Buffer
Algorithm
Stage 2: GPU-Based Parallel Processing (Stitching)
The moment when the processing load is entirely handed over to the hardware architecture.
- Zero-Copy Principle: Raw video frames are transferred directly to the GPU, bypassing the CPU.
- Dynamic Grid: CUDA and shader cores merge dozens of textures into a single Master Canvas in real-time.
Cores)
Stage 3: Single Frame Output (Single Stream Egress)
Seamless transmission of massive processing power to the end user. The massive single frame combined on the server is compressed via hardware encoders. Result: The client effortlessly views only a single standard video stream, regardless of how many cameras there are.
Compression Engine
Low Latency)
Multiplier Effect: Unlimited Streams, Single Canvas
COSIB streams can be nested within one another. Another COSIB output can be assigned to each frame on the user-created canvas. The limits are determined by your canvas imagination, not network bandwidth.
Proof in the Field: Cosib Stream Viewer App
The most concrete validation of the COSIB infrastructure in the field. Offered for global use as a commercial and practical output, the Cosib Stream Viewer makes viewing hundreds of streams feel like playing a standard video, even on the most modest or older generation tablets.
Operational Edge Advantages
Maximum Hardware Savings
Minimum CPU/GPU load. Battery consumption and heat generation at the device level drop dramatically.
Mobile Network Optimization
Ultra-low latency without packet loss or consuming data quotas, even on weak Wi-Fi or 4G/5G networks.
Dynamic Grid Management
Instantly and remotely reshape the grid structure by sending commands to the servers from the mobile interface.
The Power of Data, the Comfort of the Edge
COSIB is the comfort and efficiency layer of the Centia ecosystem in the field.