Abstract: A face recognition system and a face recognition method are provided. The face recognition system includes an image capturing device and a processing device. The image capturing device is configured to capture a face image of a user to be recognized, de-identify the face image to obtain de-identified image data, and transform the de-identified image data into multiple de-identified features and output. The processing device is configured to verify an identity of the user to which the de-identified features belong by using a trained machine learning model. The machine learning model is trained by using de-identified features and identities of multiple users registered in advance.

Abstract: An access control management system, access control management method and an image capture device are provided. The access control management system includes an image capture device and a processing device. The image capture device includes: a lens; an image sensor configured to sense a light intensity passing through the lens to generate an image of a subject being captured; an image signal processor (ISP) configured to capture a face image in the generated image, perform a de-identification processing on the face image to obtain de-identified image data, and transform the de-identified image data into multiple de-identified features; and an I/O interface configured to output the de-identified features. The processing device is configured to verify an identity of a user to which the de-identified features belong by a trained deep learning model. The deep learning model is trained by using de-identified features and identities of multiple users registered in advance.