Face recognition is a technology that allows computers to identify individuals based on their facial features. It is used for a variety of purposes, including security and law enforcement, as well as for commercial purposes such as personalizing advertising and recommendations. Besides, this technology integrates three processes: the verification of the faces by comparing two faces, the identification of a person based on their facial features, and the confirmation of how much a face changed over time by comparing it to another.
Due to the process involved in this technology, it is necessary to adopt an identity verification API because it is extremely efficient and practical since it allows you to easily compare faces in order to verify them or identify them more effectively. Additionally, it uses artificial intelligence and machine learning technologies, which makes it very reliable. It will help you to build the platforms you want for your customers as a developer.
Use An Identity Verification API
Since there are many Identity verification APIs available on the market, selecting one can be difficult. However, if you want to compare faces, you should use a face matching API, because this tool will help you to determine whether two faces are the same or not.
Additionally, since an API operates independently of other software, you may incorporate face comparison into your own application or website. This means that you won’t need to hire a developer or learn how to program. You can simply use an identity verification API and integrate it into your current website or application. However, if you want to use the best API for comparing faces, we advise using Face Comparison Validator API.
More About Face Comparison Validator API
Face Comparison Validator API is an API that was developed by Zyla Labs engineers. It enables users to quickly compare faces by using artificial intelligence. This way they can easily identify whether two faces belong to the same person or not. You can use this API to compare two images by comparing their pixels one by one. The algorithm will determine whether the two images are identical or not by looking for pixel differences.
Additionally, this API will return a result message with “true” or “false” indicating whether the two images are identical or not (the latter being true). If there are significant differences between them, this will be indicated as well. Additionally, Face Comparison Validator API will give you more benefits if you are a developer:
-This API compares the two provided images by using their facial features, such as the position of the eyes, nose, and mouth. And by doing so, it provides a response that indicates whether the two faces are identical or not with a score that ranges from 0 to 100, with 0 being completely dissimilar and 100 being completely similar.
-Due to its adaptability, the Face Comparison Validator API may be readily converted into a variety of other computer languages, including HTML, PHP, and JSON.
How To Use This Compare Faces API
Just follow these steps:
Would you like to see how this API works? Look at the following test. Enter the “Compare Image With Image URL” option, supply two test images in JPG format, and then select “Test Endpoint” to view the results. In this case, the two faces are not those of the same person:
{ "statusCode": 200, "statusMessage": "OK", "hasError": false, "data": { "resultIndex": 3, "resultMessage": "The two faces belong to the different people.", "similarPercent": 0.45439141831992913 }, "imageSpecs": [ { "leftTop": { "isEmpty": false, "x": 718, "y": 195 }, "rightTop": { "isEmpty": false, "x": 356, "y": 176 }, "rightBottom": { "isEmpty": false, "x": 337, "y": 538 }, "leftBottom": { "isEmpty": false, "x": 699, "y": 557 } }, { "leftTop": { "isEmpty": false, "x": 259, "y": 134 }, "rightTop": { "isEmpty": false, "x": 62, "y": 183 }, "rightBottom": { "isEmpty": false, "x": 111, "y": 380 }, "leftBottom": { "isEmpty": false, "x": 308, "y": 331 } } ] }