Codeproject Blue Iris Verified Extra Quality -

[Standard Motion Event] ──> [Blue Iris Temporary Alert] ──> [CodeProject.AI Analysis] │ ┌─────────────────────────── CANCELLED ─────────────────────────┴───────────── VERIFIED ────────────────────────┐ ▼ ▼ [False Alarm Filtered Out] [True Alert Confirmed] • Shadows, wind, or rain • Person, car, or dog • Clip is marked "Cancelled" • Push notification sent • Substream-only recording saved • 4K high-res recording triggered

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.

A verified setup is the foundation for advanced features like Automatic License Plate Recognition (ALPR). With the appropriate modules installed, your system can not only detect a car but also read and log its license plate number, creating a searchable database of all vehicle traffic. Similarly, face detection modules can identify known individuals and alert you when an unknown face appears, adding a crucial layer of security for homes and businesses. codeproject blue iris verified

To make the AI efficient, you must configure how individual cameras trigger the AI analysis. Right-click a camera feed and select . Go to the Trigger tab and click Artificial Intelligence .

Ensure the server address is set to localhost (or 127.0.0.1 ) and the port matches the AI server configuration (usually 5000 ). [Standard Motion Event] ──> [Blue Iris Temporary Alert]

Integrating with Blue Iris delivers a highly dependable tool for localized, local smart video surveillance. The core of this system revolves around CodeProject Blue Iris verified alerts , a feature that completely transforms traditional motion detection by suppressing false positives caused by wind, rain, shadows, and headlight reflections.

Traditional motion detection in NVR (Network Video Recorder) software is often triggered by changes in pixels—meaning a blowing tree branch or a passing cloud can result in a false alarm. A verified setup is the foundation for advanced

The integration of with Blue Iris has revolutionized local video surveillance, allowing users to achieve "verified" alerts that drastically cut down on false alarms. By combining the robust network video recorder (NVR) capabilities of Blue Iris with the open-source intelligence of the CodeProject.AI Server, home and business owners can transform standard camera feeds into smart, context-aware security grids.

Review the Blue Iris log tab for any AI communication errors. Conclusion

AI processing is resource-intensive. To achieve the fast analysis times required for real-time alerts, choosing the right hardware topology is critical. Hardware Component Minimum Requirement Recommended Specification Intel Core i5 / AMD Ryzen 5 (6th Gen+) Intel Core i7/i9 (10th Gen+) or AMD Ryzen 7/9 RAM 16 GB or 32 GB (DDR4/DDR5) GPU Acceleration Intel HD Graphics (DirectML) NVIDIA GTX 1660 / RTX 3060 or higher (CUDA) Storage Standard HDD for video archiving NVMe SSD for OS and CodeProject.AI installation