How to build a face recognition application?

In this article, we will explain in detail how to create your own face recognition application on the Cameralyze no-code platform.
Yasmin Us
3 minutes

Face Recognition app is very popular nowadays. Wouldn't you like to build a face recognition application that you can customize according to your needs? Read on to learn how to create a customizable Face Recognition app on Cameralyze's no-code platform.

First of all, after signing up, you will see a dashboard like the one below;

The interface is very user-friendly. Since we want to build a new application, we click the "New Application" button. You will be directed to the window with the image below. In this window, it is possible to build and customize applications according to your needs without writing a single code. You can understand whether you are on the right path to create your application with the orange exclamation warning in the bar on the left. As you can see in the Application Types section on the right bar, there is a "Face Recognition" card. As the first step, we click on this card.

When you click on this card, a window will open like the image example below. At this point, in order to introduce which faces you want to recognize to the artificial intelligence, you must add the faces you want to recognize to the system, that is, you should click the "Add Person" button. PS: You can add as many people as you want and upload images directly proportional to your system use.

To register the person in the system, you should enter person name.

After you enter the name, you can upload as many images as you want to contain that person's face. The more images you upload from different angles, the higher the accuracy rate of artificial intelligence in recognizing that person. Don't forget to click the "Submit" button after uploading the images.

Now it's time to choose the matching type! When artificial intelligence recognizes this person in a live stream, video, or a different visual, it offers you a choice; Detected faces are one of them, Detected faces are non of them. At this point, you can choose either one according to your own preference.

After completing all the steps, I click on the "save and continue" button. You automatically return to the application dashboard as in the image below. Here you can add "Face Matching Filter" to your application if you wish.

Before exporting the results to JSON Response, Google Drive, Dropbox, etc., I click the "Application Preview" button to test how the application I created works before sending it. I uploaded the same image I added to the database to show you as an example. You can also upload a different image containing the same person while previewing. It can also be a group photo with the person you added because the application works with high accuracy, even in large groups.

As can be seen from the preview in the photo below, we can also get the JSON response while "Preview".

After we saw that the application was working correctly from the "Preview" option, the option that we preferred to send the results as the last step remained. There are three options in the "Result" part. You can choose where you want the save your result  to folder, send to on API and JSON response results to be saved.

That's how easy it is!

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