Here’s a proven, community-verified guide to getting your system up and running. The process is straightforward and can be broken down into a few key steps.
: Because CodeProject.AI is self-hosted, all image analysis happens on your local hardware—no video data ever leaves your network for processing. Hardware Recommendations codeproject blue iris verified
Pairing with Blue Iris is one of the most powerful and privacy-conscious setups available in the DIY home surveillance market. By implementing a verified local AI server, you move beyond simple motion detection, gaining a smart security system that understands what it is looking at. With appropriate hardware and the proper configuration, you can eliminate false alarms and take full control of your security data. If you are interested in exploring further, I can provide: A list of the best cameras for use with Blue Iris. Specific GPU recommendations to speed up AI inference. Tips for configuring License Plate Recognition . Let me know how you'd like to proceed! CodeProject.AI for Blue Iris - Installation and Setup Here’s a proven, community-verified guide to getting your
: Once installed, access the dashboard at http://localhost:32168 to ensure modules like Object Detection (YOLOv5 or YOLOv8) are running. 2. Blue Iris Global AI Settings To enable the bridge between the two programs: Open Blue Iris Settings (gear icon) > AI tab. Check Use AI server on IP/port (typically 127.0.0.1:32168 ). Ensure Default Object Detection is selected. 3. Verifying Camera-Specific Alerts Hardware Recommendations Pairing with Blue Iris is one