Codeproject Blue Iris !new! -

Blue Iris is built on a lightweight, cross-platform foundation written in with bindings for C#/.NET and Python . Its architecture revolves around three key layers:

| Feature | Traditional VMS (e.g., Milestone, Genetec) | CodeProject Blue Iris | |---------|---------------------------------------------|------------------------| | License Cost | Per-channel, often thousands of dollars | | | AI Model Flexibility | Vendor-locked models (face, LPR only) | Any custom TensorFlow/ONNX model | | Sensor Fusion | Rare | First-class (video + GPIO + modbus) | | Deployment Target | Windows Server + GPU | ARM (Raspberry Pi, Jetson), x64, Docker | | Latency | 200–500 ms (cloud-reliant) | <50 ms (edge-native) | codeproject blue iris

For Docker users:

: Prevents nuisance alerts caused by shadows, wind-blown trees, or moving flags by only alerting when a target object is verified. Face Recognition Blue Iris is built on a lightweight, cross-platform

docker run --rm --device=/dev/video0 codeproject/blue-iris:latest local file storage

Rule-based triggers and outputs—HTTP webhooks, MQTT publish, local file storage, real-time dashboards via WebSockets, or relay activation.