It's worth noting that, if you don't have a CUDA enabled GPU, then you can use Object Detection (YOLOv5. You can do this either by clicking Open AI dashboard in the AI tab in Blue Iris main settings, or by simply putting into your browser. Make sure CodeProject.AI Server is open, and Object Detection (YOLOv5 6.2) is started. As an example, I'll demonstrate how to detect a person. In this section, we'll look at how to detect something that is included in CodeProject.AI Server. Once you've set up CodeProject.AI Server with Blue Iris, you're ready to detect something. The whole point of using CodeProject.AI Server with Blue Iris is to do detections. I recommend leaving this at the default, which is Medium.Ĭheck the Facial recognition box if you intend to detect faces, check the ALPR box if you intend to detect license plates, and check the Use GPU if you want to use your computer's GPU to do all these detections.Īnd that's it! That's all you need to do to set up CodeProject.AI Server with Blue Iris. ![]() The bigger the size you choose (Medium, Large) the more CPU (or GPU) resources are consumed. This works for license plates during the day (DayPlate) and at night (NightPlate)Ĭheck the Default object detection box to determine the complexity of the models being used.
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