Step By On How To Use A Do You Implement Liveness Detection API

That way, you’ll know if it’s appropriate to store the image or not. 

Which technological tools are available for this?

How does this Face Recognition API work?

Face Recognition API is a web service provided by Zyla Labs that allows you to compare a given image against a database of known faces in order to determine whether there is a match. This image verification tool works automatically and efficiently. To use it, simply provide the URL of the image you wish to verify, and the Face Recognition API will return a JSON object containing information about the face(s) it has identified. 
Face Recognition API also supports custom Android and iOS applications as well as browser-based SDKs! The Face Recognition API also includes automatic face rotation and color normalization, making face analysis simple and consistent across images! 
How does this Liveness Detection API differ from others?
In addition to providing you with state-of-the-art tools for detecting fake content, image moderation systems also help you quickly and efficiently identify offensive images and remove them from your website or app. But there are many options available.  It is very important that you choose the right one for your needs, so we’ve reviewed some of the best
Check if the selfie your users take is indeed live, optimally clicked to save in your records, if there are multiple faces detected in the image, and what percentage of the image the face actually covers.

To make use of it, you must first:
1- Go to Face Liveness Check API and simply click on the button “Subscribe for free” to start using the API.
2- After signing up in Zyla API Hub, you’ll be given your personal API key. Using this one-of-a-kind combination of numbers and letters, you’ll be able to use, connect, and manage APIs!
3- Employ the different API endpoints depending on what you are looking for.
4- Once you meet your needed endpoint, make the API call by pressing the button “run” and see the results on your screen.

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