A patent application from Apple for technology that would enable Face ID biometric matching with partial face images and in poor lighting conditions has been published by the U.S. Patent and Trademark Office (USPTO), Patently Apple reports.

Patently Apple notes that all three inventors credited for the ‘Robust Face Detection’ technology are part of the company’s machine learning team.

Face detection with Face ID is most effective in upright orientations in portrait or landscape mode, and rotating images based on other sensor data to enable face detection can be unreliable and take a lot of processor power, according to the application. Similar limitations apply to partial faces, which are typically rejected, and both too much or too little background light can prevent face detection.

read more at https://www.biometricupdate.com/201912/apple-patent-application-describes-face-id-biometrics-with-different-angles-partial-faces-poor-lighting