: Dialing in confidence thresholds, analyzing times, and substreams requires extensive trial and error.
Download the latest CodeProject.AI Server installer for Windows. Run the installer with default options, which typically include modules like "Object Detection (YOLOv5 .NET)" and "Face Processing".
Pairing with Blue Iris is one of the most powerful and privacy-conscious setups available in the DIY home surveillance market. By implementing a verified local AI server, you move beyond simple motion detection, gaining a smart security system that understands what it is looking at. With appropriate hardware and the proper configuration, you can eliminate false alarms and take full control of your security data. If you are interested in exploring further, I can provide: A list of the best cameras for use with Blue Iris. Specific GPU recommendations to speed up AI inference. Tips for configuring License Plate Recognition . Let me know how you'd like to proceed! CodeProject.AI for Blue Iris - Installation and Setup codeproject blue iris verified
CodeProject.AI can be run directly as a Windows Service or encapsulated in a Docker container to offload hardware resources.
I can refine the technical details if you’re using a specific hardware accelerator (like a NVIDIA GPU : Dialing in confidence thresholds, analyzing times, and
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: If the object meets your specific threshold (e.g., person: 65% ), Blue Iris marks the clip as Verified , flags the timeline, and pushes an alert. Otherwise, it cancels the alert silently. 🛠️ Step-by-Step Installation and Core Connection Pairing with Blue Iris is one of the
By passing initial motion triggers to a local machine learning server, Blue Iris ensures that you only receive notifications when a true target—such as a —is positively identified and verified. This guide provides a deep dive into how verified alerts work, how to set them up, and how to optimize your server for near-instant validation times. Understanding the "Verified" Ecosystem