Facial verification, also known as facial authentication or face verification, is a technology that uses facial recognition algorithms to verify or authenticate an individual’s identity. It involves comparing a live or static image of a person’s face with a reference image or template to determine if they match. Face verification can be used in a variety of contexts, such as to unlock a computer or smartphone or to verify a person’s identification.
Although there are various techniques to verify faces, the most practical and reliable is to use a face recognition API. This kind of tool allows developers to integrate facial recognition technology into their applications for verifying if two faces belong to the same person or comparing a face against a database of known faces. Thanks to their advanced algorithms and machine learning models, these tools ensure efficient facial verification and deliver a seamless user experience.
There are a few available choices; however, remember to consider factors such as accuracy, ease of integration, pricing, security, and compliance with privacy regulations when selecting a face recognition API. As a suggestion, look into the Face Match Validator API. This tool is well-known for being reliable and secure and is offered via the Zyla API Hub.
Face Match Validator API
The face match validator API enables you to compare two photos’ faces in a timely and precise manner. This API is ideal for developers and businesses that need to integrate these services into different webs or programs for verification or authentication purposes. Utilizing the response’s supplied API confidence score, you can determine whether or not the images depict the same individual.
The Face Match Validator API: How to Use It
All you need to do is create a Zyla API Hub account and subscribe to the face match validator API to start using this API. To obtain a full response, you need to use the two endpoints that this API has: the “create task” and “retrieve result task” endpoints. For the first one, simply change the URLs of the two photos you wish to analyze in the request body form. After running the API call, you will receive a request ID. This one needs to be inserted in the “retrieve result task” field. Finally, execute the API request to quickly get your results!
To illustrate this process, we compare the image URLs for Queen Elizabeth: “https://www.telemadrid.es/2022/09/08/noticias/internacional/_2485561505_35254515_1300x731.jpg” and “https://cdn-3.expansion.mx/dims4/default/d34a474/2147483647/strip/true/crop/1200×715+0+0/resize/1200×715!/brightness/0x1/format/webp/quality/60/?url=https%3A%2F%2Fcdn-3.expansion.mx%2Fdc%2F5f%2F32259c6a40d79e100c4843c67953%2Fisabel-ii-jubileo-reina-inglaterra-2022-06-02t014143z-506580052-rc2ceu9tedpc-rtrmadp-3-britain-royals-platinum-jubilee.jpeg”. Following the API call, we received:
{
"request_id": "d857e3bf-e19c-4891-958d-fdbc95b211f4"
}
The previous response is then inserted into the “retrieve task result” endpoint. The data obtained after the API call was the following:
[
{
"action": "compare",
"completed_at": "2023-06-21T09:28:32+05:30",
"created_at": "2023-06-21T09:28:25+05:30",
"group_id": "123",
"request_id": "d857e3bf-e19c-4891-958d-fdbc95b211f4",
"result": {
"image_1": {
"face_detected": true,
"face_quality": "Good"
},
"image_2": {
"face_detected": true,
"face_quality": "Good"
},
"is_a_match": true,
"match_score": 99.99,
"review_recommended": false
},
"status": "completed",
"task_id": "123",
"type": "face"
}
]
With a match score of 99.99%, this response leads us to the conclusion that the two photos belong to the same person, in this Queen Elizabeth.
By integrating an efficient face verification API into your application or system, you can enhance the user experience, streamline authentication processes, improve security, and prevent unauthorized access. The Face Match Validator API has several plans that will enable you to provide a seamless and reliable facial verification solution tailored to your specific needs while ensuring accuracy and compliance with industry standards. So why are you still waiting? Start using the incredible face match validator API now!
