AI in Face Recognition

False Acceptance, False Rejection is a long time problem with different skin tones and various face features. Deep Learning and Machine Learning is now very popular among manufacturers for face analysis, which makes it easier and more precise identification. DL and ML proved that it can solve tricky security problems; helps improvement on false acceptance ratio on different demographic groups. With more training, we have seen very successful results in various face attributes. These face biological features represents facial characteristics (skin tone, facial hair etc.) of person.