Patent Document ID: 9965610
Application ID: 15637569

Base Claim:
1. A machine access control system, comprising: a camera configured to capture an input image of a subject purported to be a person associated with operating a particular workplace machine; a memory storing a deep learning model configured to perform joint multi-task learning for a pair of tasks including a liveness detection task and a face recognition task; and a processor configured to apply the deep learning model to the input image to recognize an identity of the subject in the input image regarding being authorized to use the particular workplace machine and a liveness of the subject, and wherein the liveness detection task is configured to evaluate a plurality of different distractor modalities corresponding to different physical spoofing materials to prevent face spoofing for the face recognition task.

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Claim 11:
11. The face recognition system of claim 1 , wherein the deep learning model is formed to include a plurality of layers, and the processor is further configured to train the deep learning model by freezing each of the plurality of layers except a last fully connected layer therein, and performing multi-task training by combining the liveness detection task and the face recognition task, wherein during the multi-task training, all weights of the plurality of layers are unfrozen.