We are used to integrating our photograph for subscribing to certain applications on our mobiles, to standing still at the passport control counter or at entering a building for giving evidence of who we are. This has become a usual practice, and we are grateful to developers who have devised software for face comparison that gives certainty of identity these days. We can now check that two faces refer to the same person with a high confidence score and with a threshold value to be sure of the similarity. This technology gives us protection against FFA (Fake Face Attacks) and guarantees accurate output in real time. It can be done automatically by an algorithm that compares features like Euclidian distance and other features as mentioned above. Therefore, face comparison can be used for security purposes like police investigation, forensics, identity validation, etc. and other applications like access to apps and accounts by biometric data.

This revolutionary approach is a new technique to compare faces safely and with high accuracy. Face comparison must be done by means of lately developed software which gives high efficiency solutions. Luckily, we can count on platforms that can help you get accurate results for face comparison. This kind of tool uses artificial intelligence to compare faces. This way, if there is a match, the API will return a confidence score that indicates how similar they are: the higher the score, the more similar. Face comparison APIs are ideal for security purposes since they can be used to verify identities, prevent identity fraud, and even spot wanted terrorists at airports, for example. So if you are looking for a way to improve your security system, or if you are looking for a way to detect fake IDs, then you should definitely consider using an API.

First, the camera scans the face and converts it into a mathematical representation called a vector. Then, the algorithm compares the vector to those in the database to determine whether they are similar enough to belong to the same person. The accuracy of face recognition technology can be improved by using multiple cameras and creating 3D models of faces. Some systems also use infrared cameras to capture images in low light conditions.

Face Comparison Validator API is extremely simple to use. Just follow these steps if you want to give it a try with no charge to make the right choice for your needs. First create an account at Zyla API Hub. Once you have done this, you will receive an API key. To authenticate your API key, include your bearer token in the Authorization header. Then include the URL of the image/s you want to compare as a parameter in your API call and then make the call. And that’s all there is to it! Face Comparison Validator API will return all available results with a percentage of similarity between 0.01 and 0.99, with a confidence score and in just seconds. So, if you’re looking for a good face comparison tool, we recommend using Face Comparison Validator API. It is integrated with API For Detecting Faces, Compare Faces API, Face Matching API, Identity Verification API, etc.

The process is very simple. Just follow these steps: generate an API key; you can do this by providing your bearer token. Include your bearer token in the Authorization header in order to authenticate your API key. Enter the URL of the image you want to compare into the endpoint Compare Images and click Test Endpoint. Wait for a few seconds while Face Comparison Validator API examines the images. That`s all there is to it! What are you waiting for? Try Face Comparison Validator API right away!