Codeproject Blue Iris Verified «2026 Edition»

A: The AI hasn't confirmed it. Uncheck "Require AI confirmation" if you want all motion recorded, but only verified alerts push notifications.

The image is analyzed locally via computer vision models (such as YOLOv5 or YOLOv8). If CodeProject.AI matches the target with a high enough confidence score (e.g., person: 82% ), it passes a status back to Blue Iris. Only then is the alert officially verified and sent to your mobile device or smart home ecosystem. If nothing is found, the alert is cancelled. Step-by-Step Guide to Setting Up Verified Alerts

Once configured, the AI tab should display as "Active" or "Verified," confirming that Blue Iris is feeding images to CodeProject.AI for analysis. Optimization: Making the Most of CodeProject.AI codeproject blue iris verified

: The AI "verifies" if the motion was caused by a specific object, such as a person , vehicle , dog , or even a license plate .

In a standard network video recorder (NVR) setup, video analytics rely on basic pixel-change detection. If a cloud of bugs flies across a lens or a tree branch sways, the software logs a trigger. A: The AI hasn't confirmed it

Achieving that verified state is a process that involves installing two pieces of software and configuring them to work in perfect harmony. Follow this step-by-step guide to get your system up and running. (These instructions assume a Windows environment, as Blue Iris is a Windows-native application).

Integrating Blue Iris with CodeProject.AI Server introduces a two-tier system: If CodeProject

However, based on common usage of that phrase:

Traditionally, motion detection was prone to "false positives"—alerts triggered by wind, shadows, or insects. By integrating CodeProject.AI, Blue Iris users can transition from simple motion sensing to object-based triggers Intelligent Filtering