Blue Iris – Performance Optimization
🔹 Overview
This page provides practical guidance for improving Blue Iris performance and maintaining long-term system stability.
🎯 Objective
- Reduce CPU and system load
- Improve responsiveness
- Maintain stable multi-camera operation
- Balance video quality with system performance
🧠 Key Concepts
- Performance is cumulative across all cameras
- Stability is more important than maximum settings
- Small changes can have large impact at scale
🧠 System Insight
Resolution → FPS → Codec → AI → Storage load
Performance issues are usually cumulative, not isolated.
🛠️ Core Areas
Camera Load
- Total camera count directly impacts performance
- Resolution and FPS multiply system demand
- Add cameras incrementally and test
Codec
- H.264 is typically more stable
- H.265 may reduce bandwidth but increase decode load
- Test before applying system-wide
Frame Rate
- ~15 FPS is a strong baseline
- Higher FPS increases CPU, storage, and decoding requirements
Resolution
- Use resolution appropriate for the scene
- Avoid high resolution on low-priority areas
Direct-to-Disk
- Reduces CPU load
- Improves recording efficiency
- Should be used where stable
Hardware Acceleration
- Can improve performance when configured correctly
- Must be tested for stability on your system
AI Load
- AI introduces additional processing demand
- Scale gradually across cameras
- Monitor system impact before expanding
📊 Recommended Baseline
- H.264
- ~15 FPS
- Direct-to-disk enabled
- Moderate camera count before scaling
- AI applied selectively
🧠 Real-World Notes
- Performance issues often appear after incremental changes
- Stability degradation is gradual, not immediate
- Simpler configurations scale more reliably over time
⚠️ Common Mistakes
- Adding too many cameras at once
- Increasing FPS unnecessarily
- Running maximum settings across all cameras
- Enabling AI on all cameras simultaneously
- Ignoring storage performance limitations
📊 Related Pages
✅ Result
A stable, responsive Blue Iris system that balances performance, scalability, and video quality.