Building a Face Recognition App with the FaceOnLive SDK in Android
As an Android developer working with face recognition technologies, I’ve tried several methods and libraries, such as using FaceNet with MLKit’s Face detection, CameraX and dlib-android. Using server-side inference, where face images are sent to a remote API for verifying their similarity, is also a good strategy but requires an additional backend service and introduces latency in the app due to the network calls. Moreover, face recognition technology also needs to work on a live camera feed, which entirely rules out server-side inference.
I got a chance to try FaceOnLive’s Face and Liveness detection Android SDK and I would like to share my experience with the SDK and its integration in an existing Android app.
Face recognition can be a means to authenticate a person’s identity by matching a picture with an existing image stored in a database. There are several use cases, which include:
In this section, we will discuss the steps needed to integrate FaceOnLive Face Recognition and Liveness Detection SDK in an Android app.
