I am trying to detect face with react-native-camera, I want to know how can we detect an individual's face, there is no proper documentation about the mlkit.
await FaceDetector.detectFacesAsync(data.uri) this statement is just returning face object like this face[0] = { bounds: { origin: { x: 739, y: 987 }, size: { x: 806, y: 789 } }, faceID: 0, rollAngle: 10.533509254455566, yawAngle: 0.7682874798774719 }.
This is just object's position, I cannot figure out how to recognize individual's face characteristics like eys, nose with the FaceDetector and suppose I will save person A's face data then how I will match the data with A's face later with react-native-camera ?
ML Kit does not support Face Recognition. Also, React Native is not officially supported (yet), but you could check out https://rnfirebase.io/ml-vision/face-detection#process which outlines how you can get a 133-point contour of the face. However, this is not meant for facial recognition, but rather for overlays (e.g. masks, filters).