: The term "verified" often implies a process of validation or authentication. In the context of CodeProject and a specific project named Blue Iris, it could mean that the project or a component of it has been validated against certain standards or requirements.
Install it as a so it starts automatically with your PC.
6th Generation Intel Processor or higher (Core i5/i7 recommended). RAM: 16GB RAM or higher.
What are you most interested in detecting (e.g., people, cars, custom faces, or license plates)? CodeProject.AI for Blue Iris - Installation and Setup
: Runs entirely on your local hardware (no cloud needed), which preserves privacy and reduces latency. Performance & Hardware
: Instead of blasting an alert to your phone, Blue Iris pauses. It passes background snapshot frames directly to the CodeProject.AI Server.
This combination allows users to achieve high-accuracy object detection (people, cars, animals) without sending data to the cloud, ensuring maximum privacy and zero subscription fees. This article explores how to set up, optimize, and verify CodeProject.AI with Blue Iris. What is "CodeProject.AI Verified" in Blue Iris?
In Blue Iris → AI tab:
Finally, configure how Blue Iris responds to verified alerts:
To ensure your Blue Iris verified AI setup runs smoothly, keep these highly recommended best practices in mind:
Ensure CodeProject.AI is running (default port 32168) and reachable by Blue Iris under Settings > AI Camera Configuration: Navigate to Camera Settings > Alert > Artificial Intelligence Object Confirmation: Input the specific objects you want verified (e.g., person, car, truck Verification Logic:
: On each camera, enable "Confirm with AI" and list the objects you want to verify (e.g., person, car ).
: The term "verified" often implies a process of validation or authentication. In the context of CodeProject and a specific project named Blue Iris, it could mean that the project or a component of it has been validated against certain standards or requirements.
Install it as a so it starts automatically with your PC.
6th Generation Intel Processor or higher (Core i5/i7 recommended). RAM: 16GB RAM or higher.
What are you most interested in detecting (e.g., people, cars, custom faces, or license plates)? CodeProject.AI for Blue Iris - Installation and Setup codeproject blue iris verified
: Runs entirely on your local hardware (no cloud needed), which preserves privacy and reduces latency. Performance & Hardware
: Instead of blasting an alert to your phone, Blue Iris pauses. It passes background snapshot frames directly to the CodeProject.AI Server.
This combination allows users to achieve high-accuracy object detection (people, cars, animals) without sending data to the cloud, ensuring maximum privacy and zero subscription fees. This article explores how to set up, optimize, and verify CodeProject.AI with Blue Iris. What is "CodeProject.AI Verified" in Blue Iris? : The term "verified" often implies a process
In Blue Iris → AI tab:
Finally, configure how Blue Iris responds to verified alerts:
To ensure your Blue Iris verified AI setup runs smoothly, keep these highly recommended best practices in mind: 6th Generation Intel Processor or higher (Core i5/i7
Ensure CodeProject.AI is running (default port 32168) and reachable by Blue Iris under Settings > AI Camera Configuration: Navigate to Camera Settings > Alert > Artificial Intelligence Object Confirmation: Input the specific objects you want verified (e.g., person, car, truck Verification Logic:
: On each camera, enable "Confirm with AI" and list the objects you want to verify (e.g., person, car ).