For years, Blue Iris users relied on basic motion sensors that struggled to distinguish between a swaying tree and an intruder. The software eventually integrated , but has since transitioned to recommending the CodeProject.AI Server as its primary engine for "verified" alerts.
: Recent updates have seen the CodeProject team work directly with Blue Iris developers to optimize this workflow, replacing older tools like DeepStack. Challenges and Fine-Tuning CodeProject.AI for Blue Iris - Installation and Setup codeproject blue iris verified
| Problem | Solution | |---------|----------| | No checkmark ever | Check Blue Iris log (window → Log) for "AI: timeout" | | AI module not running | Open CodeProject.AI dashboard → restart module | | High CPU | Switch to GPU or reduce camera AI triggers to every 5th frame | | Detects everything as "object" | Update custom models → download ipcam-general from CodeProject.AI module library | For years, Blue Iris users relied on basic
I can refine the technical details if you’re using a specific hardware accelerator (like a NVIDIA GPU Challenges and Fine-Tuning CodeProject
: Beyond simple detection, the integration supports advanced "Face Processing" to identify known individuals and "License Plate Recognition" (LPR) to log vehicles automatically. Hardware Optimization
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