Nowadays, security is a big concern for many companies. This is because many people want to steal other people’s identities and information. Luckily, Face verification technology can help companies protect themselves from identity theft and fraud. 

Face verification can be used to verify a person’s identity based on their face. It uses facial recognition and biometric authentication to confirm that a person is who they say they are. This can be used for a variety of purposes, such as unlocking phones, verifying identities in security systems, or even authenticating payments.

So, what’s the best way to implement face verification in your company? Well, using an image verification API! This kind of tool is the best way to enhance security in your company because it helps you protect it from fraud and identity theft! It uses artificial intelligence to compare faces, and it can even detect subtle differences in facial structure! We recommend the Face Match Validator API, which is a trustworthy and secure API available on the Zyla API Hub. 

Face Match Validator API

With the face match validator API, you can quickly and easily compare two faces to see if they belong to the same person, through the use of artificial intelligence. Although there are numerous uses for this API, user identity verification is one of them. This API can also be utilized for security reasons. It can be used to spot imposters as well as phony or fraudulent identification documents. Additionally, the face match validator API is easy to use and integrate into your system, and it has several subscription options that can adapt to your needs.

The Best Way To Use This API 

Simply register at the Zyla API Hub and subscribe to the Face Match Validator API to start making use of this API. Through the use of artificial intelligence, the Face Match Validator API will be able to provide results instantly. Pick the appropriate endpoint after that, fill in the required fields, and send an API call. Please note that you need to use the two endpoints provided by this API to obtain a full response (the “create task” and “retrieve result task” endpoints).

For example, we wanted to compare the pictures of the following URLs: “https://s.abcnews.com/images/International/biden-michigan-ap-rc-200909_hpMain_1x1_992.jpg” with “https://media-cldnry.s-nbcnews.com/image/upload/t_nbcnews-fp-1200-630,f_auto,q_auto:best/rockcms/2022-09/220915-joe-biden-mjf-1822-97c094.jpg”. So in the request body form of the “create task” endpoint, we changed the URLs of the two photographs that we wanted to examine and ran the API call. We got:

{ 
"request_id": "8ebe7cbe-19d9-427d-86b6-ee28f3d30711"
 }

We then provided the request ID and made our selection for the “retrieve task result” endpoint. Following the API request, the following details were discovered:

[
{
"action": "compare",
"completed_at": "2023-01-03T01:57:33+05:30",
"created_at": "2023-01-03T01:57:29+05:30",
"group_id": "123",
"request_id": "8ebe7cbe-19d9-427d-86b6-ee28f3d30711",
"result": {
"image_1": {
"face_detected": true,
"face_quality": "Good"
},
"image_2": {
"face_detected": true,
"face_quality": "Good"
},
"is_a_match": true,
"match_score": 100,
"review_recommended": false
},
"status": "completed",
"task_id": "123",
"type": "face"
}
]

This response’s 100% match score demonstrates that Joe Biden is the topic of both photographs.

If you’re looking for a way to boost your security, then a face-match validator API is the perfect solution. With this tool, you’ll be able to verify identities more accurately than ever before. Plus, you’ll be able to prevent fraud and identity theft! So if you’re looking for a way to boost your security, we recommend using a face match validator API. You’ll be glad you did!