: Create a "clone" of a camera specifically for AI. Use the main camera for 24/7 recording and the clone for aggressive AI-verified alerts. Static Object Suppression
Open your browser and navigate to http://localhost:32168 to access the CodeProject.AI dashboard.
Aim for analysis times between . If your logs show times over 500ms, apply these optimizations: codeproject blue iris verified
Enabling the AI server globally is one thing; enabling it for individual cameras is another critical step. To have a specific camera's alerts "verified" by AI:
Standard motion detection reacts to any pixel change—swaying trees, shadows, or even rain. Integration with an AI server like CodeProject.AI allows Blue Iris to: Filter Non-Threats : Create a "clone" of a camera specifically for AI
Unleashing the Power of CodeProject's Blue Iris: A Verified Approach to AI-Powered Security
For those living in areas with frequent wildlife activity, this model focuses exclusively on detecting animals. It can identify bird, cat, dog, horse, sheep, cow, bear, deer, rabbit, raccoon, fox, skunk, squirrel, and pig. This focused approach can be more efficient and accurate for wildlife monitoring than a general model. Aim for analysis times between
✅ Instant Compatibility: No more tweaking settings for hours. It just works. ✅ Lower CPU Usage: Efficient AI processing means your NVR runs smoother. ✅ Enhanced Privacy: Keep your video data on-premise.
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