Codeproject Blue Iris Verified ✦ [Recommended]

: While not strictly required, an NVIDIA GPU can significantly speed up AI detection times and lower CPU usage.

Achieving a "verified" status simply means successfully installing the CodeProject.AI server and configuring Blue Iris to use it as its primary AI engine. 1. Pre-requisites and Hardware

: Get notified only for "person," "car," "dog," or even specific license plates. codeproject blue iris verified

If you are running a Blue Iris setup and looking to supercharge your alerts with accurate AI object detection, give our solution a try.

: Zero cloud dependency. No images or videos ever leave your local network. : While not strictly required, an NVIDIA GPU

Big news for the home security and smart home community! We are now officially .

Supports specialized modules like License Plate Recognition (LPR) and Face Recognition. No Recurring Costs: Free, self-hosted AI server. Prerequisites for CodeProject.AI and Blue Iris Pre-requisites and Hardware : Get notified only for

Set the and Port to match your CodeProject.AI server (usually 127.0.0.1 and 5000 if installed on the same machine). 3. Enable AI in Camera Settings Right-click on a camera -> Camera Settings -> Trigger tab. Check the "Artificial Intelligence" checkbox.