Codeproject Blue Iris Verified Online
Security is paramount, and running AI detection locally is the gold standard for privacy and speed. By achieving "Blue Iris Verified" status, we have confirmed that our solution seamlessly integrates with the CodeProject.AI Server, allowing Blue Iris users to utilize advanced object detection without relying on cloud services.
The strength of the "verified" status comes from its vibrant community. For the most current troubleshooting and advice, you should turn to these key forums:
By combining Blue Iris NVR software with the open-source CodeProject.AI Server, users can transform basic motion triggers into verified alerts for people, vehicles, and custom objects.
: Go beyond basic detection. You can install custom modules for [License Plate Recognition (ALPR)](0.5.2, 0.5.10) and specific object training.
Install it as a so it starts automatically with your PC. codeproject blue iris verified
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.
Unlike cloud-based cameras, all AI analysis happens on your local hardware, ensuring privacy and speed.
: CodeProject.AI analyzes the image using computer vision models (like YOLOv5 or YOLOv8). If the object matches your specific confirmation criteria (e.g., person or car ), Blue Iris flags the clip as Verified , saves it to the database, fires a high-resolution alert, and pushes notifications.
A common "verified" tip from the community is that "Blue Iris sends the 'list custom' call to the Code Project AI Server when Blue Iris starts. If Blue Iris starts first, it sends the 'list custom' call and receives nothing". To avoid seeing a blank "Custom Models" field in Blue Iris, ensure the CodeProject.AI service is running before you launch Blue Iris. Security is paramount, and running AI detection locally
: Both the integration and CodeProject.AI itself are completely free to use.
Proceed with the installation of CodeProject.AI Server:
Once your connection is verified, Blue Iris can distinguish between a person, a vehicle, an animal, or generic motion. You can configure alerts to trigger only when a person is detected, instantly reducing noise. For example, you can set up your front porch camera to ignore passing cars but alert you the moment a delivery package is placed at your door. The system can be set up to send email notifications with images of the detected object, providing immediate, actionable information.
: Ensure that the AI server is fully loaded before starting Blue Iris. This can be managed by adjusting the service startup order in Windows or by launching Blue Iris manually after confirming the AI server's status. For the most current troubleshooting and advice, you
: 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
As we look toward the horizon, the concept of "CodeProject Blue Iris Verified" will continue to represent the gold standard for intelligent, self-hosted security surveillance. The ability to eliminate false alarms, automate responses, and extract actionable intelligence from video feeds is no longer a luxury—it's becoming a baseline expectation for any serious security system. By understanding and implementing the principles outlined in this guide, you are taking a significant step toward building a security system that is not only smart but also truly intelligent. The verified status is your assurance that your system is working at its full potential, providing you with peace of mind and a powerful tool for protecting what matters most.
→ combine with AI: Only run AI if motion crosses zone A to B.