On the video screen, right-click, go to Testing & Tuning, and make sure " Analyze with AI" is checked. The next step is to ensure Testing and Tuning is active. This loads the stream as a video, which you can scroll through. The recording shows up in the clip menu on the left.įrom the All clips sidebar, double-click on the recording clip you want, which opens up the video stream. My camera continuously stays on and records once it is activated, so there is only one clip on my list. Next, let's look at AI detection on a video source.įirst, go to the " Record Start/Stop" button on the camera display and click it to start recording. Do this by clicking on the three dots on a process and selecting Stop. Feel free to switch off every other process since we're only using Face Processing. From the AI tab, click Open AI control panel to open CodeProject.AI Server in your browser. Hit OK to exit the AI settings, then OK to exit the camera settings.īefore proceeding, make sure that Face Processing is enabled in CodeProject.AI Server. In the To confirm box, input the name of the face profile just created. Now go to the Trigger tab in the camera settings, then hit Artificial Intelligence to launch the camera's AI settings. I've read that you can add multiple profiles under the same name, but every time you add a new image and call it an existing profile name, there is an error "cannot rename (previously named profile name here)." Select face1, click the Edit button (the pencil icon), rename the face to whatever you want (in my case, "Sean"), then hit OK to exit the faces profile window, then OK again to exit the Blue Iris settings. For me, this added the snapshot as face1. From here, click the + symbol, then go to the New folder to select the snapshot, then hit Open. Now go to the AI tab, and check the box for Facial recognition. There are four folders that store recordings, which can be modified in the Clips and archiving tab in the Blue Iris settings. This saves a snapshot to the folder the New folder that stores recordings. Make sure the camera is on, look at it directly on, then on the camera settings panel, click the snapshot button. By turning on Facial recognition in Blue Iris, you need to add a Face profile so CodeProject.AI Server has something to recognize. The first step is to take a snapshot of the face you want to profile. Setting up Facial Recognition in Blue Iris Blue Iris Forums - This is also a great resource if you have more Blue Iris-centered questions.Blue Iris and CodeProject.AI Server integration has changed a lot in just a few months. You can start reading that thread from the beginning to see the entire history of Blue Iris and CodeProject.AI Server integration, but take care in what advice / settings you decide to implement if you start from the first page. Specifically, the thread 5.5.8 - JCodeProject.AI Server. If you have a Blue Iris setting or problem you can't sort, they will help you sort it. ipcamtalk Forum on Blue Iris - There is a magical thread here that is several pages long that contains the long history of users working with Blue Iris and CodeProject.AI Server.The developers are wholeheartedly dedicated in making CodeProject.AI Server better, and they definitely want to hear you. If you have a question, or a complaint, or a feature request, please share it here. CodeProject.AI Server Discussion thread - This is ground zero for CodeProject.AI Server development.Please feel free to ask any questions you have on this article's forum, but also please consider the following resources: If you are using different versions of either Blue Iris or CodeProject.AI Server, you may experience issues. This is my current setup for this article: Setting up Facial Recognition in CodeProject.AI Server.Setting up Facial Recognition in Blue Iris.Because the object I was trying to detect was a dog, all of my Blue Iris are currently set up for that and need to be changed. In that article, I walk you through installing CodeProject.AI Server, installing and setting up Blue Iris, setting up a Wyze cam, and using all that to detect an object. If you haven't set up Blue Iris before, or if you haven't set up CodeProject.AI Server with Blue Iris, please see my article How to Setup Blue Iris and CodeProject.AI Server on Windows Using a Wyze Cam. So here is how you get face detection working with Blue Iris and CodeProject.AI Server. Someone kindly responded with an answer to this user, but something told me this was the kind of issue that could do with a step by step guide. Recently on the Blue Iris forums, I was reading an account of a user who could not get face detection working using Blue Iris and CodeProject.AI Server.
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