In the past, face detection was achieved by manually identifying and marking every face in an image. This was difficult because there were so many faces to monitor. However, with the use of an API, this process has been greatly simplified because it does all the work for you by automatically detecting and tracking faces in real time.
Benefits Of Implementing RealTime Liveness Detection Android Github API
Face detection has also been used to create digital avatars that can mimic a person’s facial expressions. This technology has also been used to create digital versions of famous people by mapping their facial expressions onto 3D models.Face detection is a powerful tool that can be used for a variety of different purposes. By implementing RealTime Liveness Detection Android Github API into your systems, you can take advantage of all these benefits and more!
RealTime Liveness Detection Android Github API Verified As A Good Tool To Detect If A Face In An Image Is Live Or Not By Zyla Labs
RealTimeLivenessDetection is based on the same principles as FaceDetection; it just uses a different algorithm for detecting live
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.