Setting up BlueIris with CodeProject.ai Facial Recognition
BlueIris is a popular video surveillance software that offers powerful features for managing and recording video feeds from various IP cameras. Integrating facial recognition capabilities into BlueIris can enhance its functionality by enabling it to identify and track individuals, making it an even more effective security solution.
One way to integrate facial recognition into BlueIris is by using CodeProject.ai, a facial recognition API that provides developers with the tools to create custom facial recognition applications. In this article, we will provide a step-by-step guide on how to set up BlueIris with the CodeProject.ai facial recognition API.
Step 1: Sign up for CodeProject.ai
The first step is to sign up for CodeProject.ai and obtain the necessary credentials to access its facial recognition API. Visit the CodeProject.ai website and create an account. Once you have registered, you will be provided with an API key and other required information.
Step 2: Install BlueIris
If you haven’t already, install BlueIris on your computer and set up your IP cameras to start capturing video feeds. BlueIris supports a wide range of IP cameras, so make sure your cameras are compatible with the software.
Step 3: Enable API Access in BlueIris
In order to use the CodeProject.ai facial recognition API with BlueIris, you will need to enable API access in the BlueIris settings. Navigate to the “Preferences” tab and then select “Remote Access” from the left-hand side menu. Check the box labeled “Enable API access” and make a note of the API port number.
Step 4: Configure CodeProject.ai Integration
Next, you will need to configure the integration between BlueIris and the CodeProject.ai facial recognition API. In the BlueIris settings, navigate to the “AI Tools” section and select “Add” to create a new AI tool. Enter the API key and other required information provided by CodeProject.ai.
Step 5: Set Up Facial Recognition Rules
Once the integration is configured, you can set up facial recognition rules in BlueIris. You can define specific actions to be taken when a face is recognized, such as sending an alert, triggering a recording, or initiating other automated responses.
Step 6: Test the Setup
After configuring the integration and setting up facial recognition rules, it’s important to test the setup to ensure that BlueIris is properly recognizing and responding to faces detected in the video feeds from your IP cameras. You can test the setup by having individuals walk in front of the cameras to see if BlueIris successfully identifies and responds to their faces.
By following these steps, you can effectively set up BlueIris with CodeProject.ai facial recognition to enhance the security capabilities of your video surveillance system. With facial recognition integrated into BlueIris, you can improve the accuracy and efficiency of identifying individuals in your camera feeds, making it an even more powerful tool for security and surveillance.
