In order for Blue Iris to use the AI functionality of CodeProject.AI Server, it must be running. Checking the Facial Recognition checkbox will enable recognizing people in Blue Iris using CodeProject.AI's Face Recognition API.The default Blue Iris setting is to detect persons, cars, trucks, buses, bicycles, and boats and fire alerts when they enter the camera's view. You probably want to check the Default object detection checkbox so that Blue Iris can use CodeProject.AI to detect an object.Don't worry, I will be showing you how to run CodeProject.AI as a Windows Service. We have to start CodeProject.AI in a different way as Blue Iris is expecting to run a different executable than CodeProject.AI.Server.exe. If you plan to run CodeProject.AI on another server or port, adjust these values to reflect the server and port you are using. You could also use 'localhost' for the IP. These are the default values for CodeProject.AI. Check the Use DeepStack Server checkbox and set the IP/Port to '127.0.0.1' and 5000.Because we are replacing DeepStack, the information you need to worry about is in the DeepStack section. This will open up the AI Settings Panel as shown below. This will bring up the Blue Iris Settings panel.Ĭlick on the AI tab. You can configure Blue Iris by clicking on the gear icon on the upper left menu bar. Click on the ? in the menu bar and then select Help Documentation to view the help. I will not go into this process here, but it is detailed in the included help documentation in the Cameras section. If you haven't already configured your cameras for use with Blue Iris, you will need to do this now. You should now see the Blue Iris software running. I am running in demo mode for the instance I am using to test the integration. You can select to register by clicking Next, or continue with the demo license by clicking Demo. If you do not have a license, you will see the following: To do this, right-click on the Blue Iris start menu item and select Run as administrator. The installer and installation instructions can be found at CodeProject.AI Server: AI the easy way.īlue Iris needs to run as an Administrator. Not bad for a robust and easy-to-use security system that keeps all your data local. Don't worry, it is very inexpensive and a one-time expense, $35 or $70 respectively. You will be able to run with a Demo License for 15 days before you must buy a single or multi-camera license. Download and run the installer found at Blue Iris Downloads. Install Blue Iris if not already installed.I'm not going to walk you through these steps, rather I will point you to the installation instructions for each. The first step is to get the various pieces of software installed. This article will show how to configure Blue Iris to use CodeProject.AI Server as its vision AI service. With the integration, Blue Iris can detect objects and faces, and react to these in a number of ways, including alerts and emails. Blue Iris is a Video Security and Web Camera system for those looking to manage multiple web cameras. Using CodeProject.AI Server in The Real Worldīecause the CodeProject.AI Server's Web API is compatible with DeepStack (given that DeepStack was the first module we integrated), we were careful to ensure that it was a drop-in replacement for those who have already integrated DeepStack into their apps. The more modules and ideas we aggregate, the more features we expose, but always through the same simple API and the same installer. For a developer, it means a single API (via the CodeProject.AI Server) that you program against. We take care of worrying about frameworks, compiler and interpreter versions, library mismatches, models, setup, download and all the annoying things that can make something fun become a chore.įor a consumer, this means a single downloadable installer that Just Works. This is a tech preview and so has some rough edges, but we'd rather bring you along for the ride rather than hold off until things are perfect! A Very, Very Brief BackgrounderĬodeProject.AI Server is based on the concept of aggregating the best ideas from the AI community and presenting them in an easy to use package. This article is specific to CodeProject.AI Server v1.1 Beta. The first Beta was released on Januand we're actively adding features, improvements and integrations every week. This is why we are developing CodeProject.AI Server, with a goal to make using AI easier for the average user. IntroductionĪrtificial Intelligence is becoming ubiquitous, but has always seemed to be Yet Another Technology To Learn in a world where there are too many things we need to stay on top of. A new version of this article is underway. This article is valid for BLue Iris 5.4 and below and CodeProject.AI Server 1.3.
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