To increase your chances of getting verified, keep the following tips in mind:
: Drastically reduces alerts from rain, bugs, or lighting changes.
CodeProject.AI allows for custom modules to be installed via its dashboard. codeproject blue iris verified
Ensure the server address is set to localhost (or 127.0.0.1 ) and the port matches the AI server configuration (usually 5000 ).
: Blue Iris only sends a notification if the AI sees an object you've specified. 🚀 Setup Steps 1. Install CodeProject.AI Download the latest version from the CodeProject.AI website Install it as a Windows Service so it starts automatically with your computer. Default Port : Ensure port is open (default). 2. Configure Blue Iris Global AI Blue Iris Settings Enable CodeProject.AI Enter the IP Select the modules you want (e.g., Object Detection (YOLOv5) Face Recognition for license plates). 3. Enable Verification per Camera Right-click a camera > Camera Settings Artificial Intelligence Confirm with AI , type the objects you want to verify (e.g., person, car, dog : Use "To confirm" to list objects that To increase your chances of getting verified, keep
Setting up ALPR is a more advanced but highly "verified" enhancement. Community members have built complete, free ALPR database platforms to complement a Blue Iris + CodeProject.AI setup, allowing you to store and search license plate data. This involves installing a dedicated ALPR module in CodeProject.AI and then configuring a Blue Iris camera to send snapshots of passing vehicles for plate analysis.
Once you have the status, it is time to optimize. : Blue Iris only sends a notification if
: A user-friendly interface is crucial for users to monitor and manage the system effectively. This could be a web application, a desktop application, or even a mobile app.
Without AI, a moth, rain, or light change triggers recording. With CodeProject.AI, you only get alerts for real threats.