I’m having trouble getting my motion triggers to reach "Verified" status. I have CodeProject.AI installed and the service is running, but Blue Iris seems to be ignoring the AI analysis.
: Supports specialized modules for Face Recognition and License Plate Recognition (ALPR) .
) and returns a "verified" confirmation only if it identifies a specific target—such as a person, car, dog, or license plate. Key Benefits of Integration False Alert Reduction
: If you have more than a few active cameras, processing on a CPU will create bottleneck delays. Utilizing an entry-level Nvidia card or a Google Coral stick drops processing times from seconds to sub-100 milliseconds. codeproject blue iris verified
Ensure that local traffic on port 5000 is not being blocked.
Adjust the confidence threshold (e.g., 70%). If the AI is only 50% sure it’s a person, it might be a shadow. Increasing this threshold reduces false alerts. Conclusion
If you’re looking for a blog post that explains: I’m having trouble getting my motion triggers to
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
: Updates to either Blue Iris or CodeProject.AI can occasionally break the bridge connection or cause memory leaks. ⚙️ Performance & Setup Optimization
Getting "Verified" means that our implementation has been tested to ensure stability, low latency, and accuracy when triggered by Blue Iris motion events. ) and returns a "verified" confirmation only if
You now have the blueprint. Install the server, connect the ports, check the toggle, and watch that green checkmark appear. Your phone will stop buzzing for falling leaves. Your hard drives will stop filling with shadows. You will only be notified when it matters—when a person is actually there.
Achieving an accurate, zero-false-alarm home security setup requires matching configurations between both applications. 1. Deploy CodeProject.AI Server
Under , type the objects you want to detect, separated by commas (e.g., person, vehicle, car, truck ).
After saving these settings, your Blue Iris system is configured to send images to the AI server for analysis. How do you verify the connection? You can quickly check the AI status by looking at the status bar in the Blue Iris main window. It may show an "AI" icon or status message. The most reliable way is to use the AI control panel link in the "AI" tab to open the CodeProject.AI dashboard. In the dashboard's "Modules" tab, you should see your installed modules (like "Object Detection (YOLOv5 6.2)") with a status of "Started". This is your visual confirmation that the AI server is up and running and ready to process requests.
Set the and Port to match your CodeProject.AI server (usually 127.0.0.1 and 5000 if installed on the same machine). 3. Enable AI in Camera Settings Right-click on a camera -> Camera Settings -> Trigger tab. Check the "Artificial Intelligence" checkbox.
