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Blue Iris – Overview

Overview​

Blue Iris is the core platform for managing cameras, recording strategy, motion detection, AI-assisted analysis, alerts, storage, and system tuning.

This page provides a high-level view of how the Blue Iris environment is structured and how the major components work together.


🎯 Objective​

  • Explain the purpose of the Blue Iris system
  • Provide a high-level operational view
  • Establish the main configuration areas
  • Create a clean starting point for deeper documentation

🧠 Key Concepts​

  • Camera ingestion and stream handling
  • Recording modes and retention
  • Motion detection and trigger behavior
  • AI confirmation workflows
  • Alerts and notifications
  • Profiles and schedules
  • Storage and database health
  • Performance and hardware acceleration

System Architecture​

Blue Iris System Overview

🛠️ System Areas​

Cameras​

Blue Iris connects to IP cameras, manages streams, and coordinates recording, live view, and alert workflows.

Recording​

Recording behavior is driven by profiles, trigger logic, direct-to-disk strategy, retention rules, and storage architecture.

Motion + AI​

Motion detection triggers events, while AI confirmation reduces false alerts and improves event quality.

Alerts​

Alerts may include notifications, clips, still images, mobile push, and other actions depending on configuration.

Storage​

Storage includes New, Stored, Alerts, database maintenance, and long-term retention strategy.

Performance​

System performance depends on codec, frame rate, resolution, AI load, and hardware acceleration.



⚠️ Notes​

  • This page should stay high-level and easy to scan
  • Detailed procedures belong in dedicated pages
  • Use this page as a front door to the rest of the Blue Iris section

🧠 Real-World Notes​

  • H.264 is often more stable than H.265 in multi-camera setups
  • Direct-to-disk reduces CPU load significantly
  • AI confirmation should be tuned before enabling alerts
  • Pre-trigger settings are critical for capturing full events
  • Too many high-resolution streams can degrade performance quickly

✅ Result​

A clear, high-level understanding of how the Blue Iris system components fit together.