Once installed, confirm the server is running by opening a web browser and navigating to the local dashboard at http://localhost:32168 . Step 2: Establish the Blue Iris Integration
CodeProject.AI supports specialized models:
: For a surveillance-related project, it could integrate with IP cameras, support video stream analysis, and offer features like motion detection or alert systems.
Here’s a proven, community-verified guide to getting your system up and running. The process is straightforward and can be broken down into a few key steps. codeproject blue iris verified
In the context of Blue Iris, a "verified" alert refers to a scenario where the software detects motion and then sends that specific frame to the for confirmation.
To achieve a fully verified security system, both the global server settings and individual camera profiles must be configured in tandem. 1. Establish the Server Link CodeProject.AI for Blue Iris - Installation and Setup
Tweaking the "Confidence" threshold to 60% and using the "Face" and "Person" models specifically. Once installed, confirm the server is running by
The combination of and Blue Iris is widely considered the gold standard for self-hosted, local computer vision in home security. It acts as a gatekeeper for your security cameras, verifying motion alerts by running them through artificial intelligence to ensure you only get notified for things that actually matter (like people, cars, or dogs) instead of shifting shadows or blowing leaves.
: The AI analyzes the image to identify specific objects such as people, cars, dogs, or delivery trucks .
: Blue Iris instantly extracts the keyframes or the high-resolution main-stream image from that trigger and passes it locally to CodeProject.AI via a web API over port 32168 . The process is straightforward and can be broken
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
Supports specialized modules like License Plate Recognition (LPR) and Face Recognition. No Recurring Costs: Free, self-hosted AI server. Prerequisites for CodeProject.AI and Blue Iris
: The verification process likely involved some form of testing or review to ensure the project's integrity, performance, and security.