A security check system using face ID sensing for secure access to an electronic platform, the security check system comprising: a first camera configured to form a near ideal image of an object, wherein the near ideal image has no or very small image aberrations, and the image aberrations comprise one of the following: distortions, spherical aberration, coma, astigmatism, and field curvature; a second camera comprising an imaging lens configured to form a modulated image (520, 720) of the object, the modulated image (520, 720) of the object including deviations from the ideal image of the object and the modulated image (520, 720) includes relatively large image aberrations; a computer memory configured to store face ID data of an authorized person, wherein the face ID data is generated from: one or more near ideal images of a live face of the authorized person acquired by the first camera during a registration process; and one or more modulated images of the live face of the authorized person acquired by the second camera during the registration process; a processing module coupled to the first camera, the second camera, and the computer memory, the processing module configured to: analyze the near ideal image of the object to extract a first set of facial signatures; analyze the modulated image (520, 720) of the object to extract a second set of facial signatures; compare the first set of facial signatures and the second set of facial signatures to the face ID data; and determine whether the object is the live face of the authorized person based on the comparison. a first camera configured to form a near ideal image of an object, wherein the near ideal image has no or very small image aberrations, and the image aberrations comprise one of the following: distortions, spherical aberration, coma, astigmatism, and field curvature; a second camera comprising an imaging lens configured to form a modulated image (520, 720) of the object, the modulated image (520, 720) of the object including deviations from the ideal image of the object and the modulated image (520, 720) includes relatively large image aberrations; a computer memory configured to store face ID data of an authorized person, wherein the face ID data is generated from: one or more near ideal images of a live face of the authorized person acquired by the first camera during a registration process; and one or more modulated images of the live face of the authorized person acquired by the second camera during the registration process; a processing module coupled to the first camera, the second camera, and the computer memory, the processing module configured to: analyze the near ideal image of the object to extract a first set of facial signatures; analyze the modulated image (520, 720) of the object to extract a second set of facial signatures; compare the first set of facial signatures and the second set of facial signatures to the face ID data; and determine whether the object is the live face of the authorized person based on the comparison. one or more near ideal images of a live face of the authorized person acquired by the first camera during a registration process; and one or more modulated images of the live face of the authorized person acquired by the second camera during the registration process; a processing module coupled to the first camera, the second camera, and the computer memory, the processing module configured to: analyze the near ideal image of the object to extract a first set of facial signatures; analyze the modulated image (520, 720) of the object to extract a second set of facial signatures; compare the first set of facial signatures and the second set of facial signatures to the face ID data; and determine whether the object is the live face of the authorized person based on the comparison. analyze the near ideal image of the object to extract a first set of facial signatures; analyze the modulated image (520, 720) of the object to extract a second set of facial signatures; compare the first set of facial signatures and the second set of facial signatures to the face ID data; and determine whether the object is the live face of the authorized person based on the comparison.