Codeproject Blue Iris Verified -

As the earlier example showed, even a "verified" system isn't perfect. For cameras aimed at animal detection, the recommended best practice is to use a dedicated custom model, like the ipcam-animal model. You can then enable "AI data logging" for that camera, which records analysis details in a .dat file. Then, "hold down 'Ctrl' and double-click on the clip. That will bring up the AI inspector" to diagnose why a dog is being labeled as a person.

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

Ensure the or Object Detection (Coral) module is installed and running. 2. Configure Blue Iris Global AI Settings codeproject blue iris verified

: CodeProject.AI evaluates the image using computer vision models (such as YOLOv5 or YOLOv8). If it finds a matching target object with a high enough confidence score, it returns a "Verified" status. Blue Iris then logs the clip as confirmed and sends a rich push notification containing a bounded image bounding box directly to your device. Hardware Architecture: CPU vs. GPU Acceleration

By passing initial pixel-motion triggers through an integrated AI verification layer, users can experience a drop in false positives caused by wind, rain, insects, or passing headlights. The Power of CodeProject.AI Verification As the earlier example showed, even a "verified"

: 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

: Download the Blue Iris V5 installer and set up your cameras. Then, "hold down 'Ctrl' and double-click on the clip

Follow these steps to get CodeProject.AI working with your Blue Iris system: 1. Install CodeProject.AI Download the latest installer from the CodeProject website.