Face comparison is a computer-based method that compares two images of a person’s face to determine whether they are the same person. It is typically used by law enforcement agencies to identify suspects in criminal investigations and by security companies to protect their customers from fraud or identity theft.
Developers must be looking for a strong basis to devise face recognition tools for their clients, especially those in the field of security systems, so as to ease down the process.
Face comparison or face verification, facial verification, or face identification can be done manually by a human or automatically by a computer. Automatic face comparison, on the other hand, uses sophisticated software and AI algorithms to compare two images of the same person. It performs a matching test of an image against their biometric face template stored in the database to verify identity. Face Comparison Validator API is the most accurate tool in the market for the purpose.
Benefits To Using A Face Comparison API For Security Applications
There are many benefits to using a face comparison API for security applications. First off, it helps security companies quickly and accurately by verifying identities. This means that they can easily tell if two faces belong to the same person or not. This is especially important in today’s world, where identity theft is common and people often use fake IDs to get into bars or clubs. Likewise, it´s a reliable tool to authenticate identity in airports, public places and admission to events.
In addition, a face comparison API can also help security companies better understand how people’s faces change over time. This can be used to create more accurate facial recognition systems and improve security measures like face ID. Additionally, a face comparison API can be used to improve security at airports, borders, and other areas where security is important.
The minute scanning of faces gives reliability to security systems, that get certainty that individual and identification match. It´s a thorough analysis pixel-by-pixel that issues a report (true or false) and even the degree of resemblance between the two images, with a score that indicates more similarities when the score is closer to 1.
It’s used for face authentication, face identification, and face verification. Additionally, it can be used for secure personal identification, access control, and fraud detection. Furthermore, using this kind of API is beneficial for it offers simple, secure and reliable implementation.
Face Comparison API: How It Works
Counting on a subscription on Zyla API Hub marketplace, just start using, connecting and managing APIs. Subscribe to Face Comparison Validator API by simply clicking on the button “Start Free Trial”. Then meet the needed endpoint and simply provide the picture of the product. Make the API call by pressing the button “test endpoint” and see the results on display. The AI will process and retrieve an accurate report using this data.
Face Comparison Validator API examines the face from two images and compares them using mathematical analysis. If the two images have the same person in them, the system will return a “match”; otherwise, it will return a “non-match” response, and a “true” or “false”, depending on the case, when also analyzing the angle at which the picture was taken.
If the input is https://cdn.pixabay.com/photo/2017/02/16/23/10/smile-2072907_640.jpg, then the response will look like this:
{
"statusCode": 200,
"statusMessage": "OK",
"hasError": false,
"data": {
"resultIndex": 0,
"resultMessage": "The two faces belong to the same person. ",
"similarPercent": 0.8396031185367567
}