Do you want to know how to know if a face is cropped using an API? If so, keep reading to find out!
First of all, let’s talk about how an API works. This kind of tool is an application programming interface that allows two programs to communicate with each other in order to request and retrieve data. This means that an API acts as a messenger between two systems that want to exchange information.
As a result, when using an API, you won’t have to worry about editing programs or learning how to use them. All you need is an internet connection and a reliable API provider that offers this kind of service. And since there are many APIs available online; we suggest using one that also provides other useful features for developers like a Multiple Face Detector API.
The usage of face recognition technology has grown significantly in recent years, with uses ranging from the identification of persons at sporting events and airports to the discovery of criminals. However, social media is without a doubt where this technology is used the most frequently.
Law enforcement organizations employ facial recognition to identify suspects and missing people. The technology can also be used to locate people who are present during protests or other large-scale gatherings.
But not every facial recognition program is made equal. Some goods are more trustworthy than others, and some are better at recognizing faces than others. We suggest using Face Liveness Check API if you’re seeking for a trusted solution to assist you in assessing the precision of your facial recognition program.
Face Liveness Check API
Make sure that the selfies your users take are indeed in progress, that they were taken as quickly as possible to be preserved in your database, that no additional faces have been recognized, and that the face actually takes up the majority of the picture.
By confirming that the image you have been given is not a passport-sized image, a picture of a photograph, or an image of another person on a cell phone/laptop screen, face liveness detection helps you uncover fraud.
You can check the features of the image and note any that don’t fit your needs. To prevent users from sharing images that are inappropriate for your platforms, check to see if the face is too far from the camera and whether the quality is good or awful.
How To Use The Face Liveness Check API:
You must first sign up for a Zyla API Hub account in order to receive an API key that may be used to access any of the accessible APIs.
Second, to authenticate your API key, put your bearer token in the Authorization header. You’ll be able to utilize the API after you’re finished.
It is necessary to first click the “START FREE TRIAL” button. After that, when calling the endpoint Detect Faces, give the URL of the image you intend to analyze as a parameter. Pressing “test endpoint” will display the answer right away. When using this API, you can only utilize the “Check Liveness” and “Get Results” endpoints.
{
"request_id": "68335dae-0f5e-4394-967c-bf340e65201e"
}
You can get a task ID like this one by passing the picture URL you wish to check as live into the “Check Liveness” endpoint. You will use it later on the “Get Results” API.