How The Facial Recognition API Can Help You Improve Check-In Process

If you want to know how a facial recognition API can help you improve your check-in process, keep reading! We’ve got the scoop on this new technology, and we’ll tell you everything you need to know.

What is facial recognition?

Facial recognition is a technology that uses facial features to identify a person. It scans faces and compares them to a database of known faces. It can be used for security purposes, such as unlocking your phone with your face or authenticating your identity at a secure location. It can also be used for fun, like creating a Snapchat filter that recognizes your face.

How does a facial recognition API work?

1. The system extracts the features of the face from the image.
2. The system compares the features of the face to a database of known faces to determine if there is a match.
Facial recognition is not perfect, but it has been improving over time thanks to better technology and more data. In most cases, the system will return a match with a high level of accuracy.

How could facial recognition API work in airports?

Airport security is more sophisticated than ever before thanks to facial recognition technology. Facial recognition systems use cameras to capture images of people as they enter an airport; these images are then compared to images in a database of known airport workers and security threats. If there is a match, the person will be denied entry or access to restricted areas.
Facial recognition technology is also used at security checkpoints; passengers must look into the camera while they wait in line to be verified. This helps prevent fraud and ensures that passengers are who they say they are.
If you want to start using this technology, we recommend using Face Comparison Validator API; This will help you to improve any check-in process.

Why do we recommend Face Comparison Validator API?

You may determine if the same person appears in two images using the Face Comparison API. How? The AI compare the two images and decides whether they are truly from the same person using artificial intelligence. It’s simple and quick. You can also choose the programming code of your choice(JavaScript, Python, C++, PHP, and more!) And you will have support from Zyla for any eventuality.


You will need to supply either the publicly accessible picture URLs to the API (required), and the AI will take care of the rest.

linkFile1 [Required] The URL of the image you want to compare.
linkFile2 [Required] The second URL of the image you want to compare with linkFile1

An intuitive result will be given to you with the:

  • result message: If the two faces don’t match, this item will either state “the two faces belong to different persons” or “the two faces belong to the same person” (in case of face matching)
  • similarPercent: It returns the degree of facial similarity between the two faces.

For example:

  "statusCode": 200,
  "statusMessage": "OK",
  "hasError": false,
  "data": {
    "resultIndex": 0,
    "resultMessage": "The two faces belong to the same person. ",
    "similarPercent": 0.8396031185367567


As you can see, the API response will be in JSON format.

To make use of it, you must first:
1- Go to Face Comparison Validator API and simply click on the button “Try free for 7 days ” to start using the API. Yes, Zyla offers you free days to learn about its features.

2- After signing up in Zyla API Hub, you’ll be given your personal API key.

3- Employ the different API endpoints depending on what you are looking for.
4- With your API Key you can now integrate the API into your applications and start making API calls. On the web, you can run a test

Alejandro Brega

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