Abstract: In some examples, an electronic device includes a light guide. In some examples, the light guide includes a facial side and a rear side. In some examples, the facial side includes a lens to focus incoming light. In some examples, the rear side includes exit features to guide outgoing light. In some examples, the electronic device includes an image sensor disposed behind the lens to capture the incoming light.

Abstract: A positioning method for facial images implemented by a smart mirror having a processor, a display module, and an image capturing module is disclosed and includes following steps: displaying a default positioning mask through the display module after the smart mirror is activated; capturing a facial image of a user by the image capturing module when a real-time image of the user is detected and aligned with the displayed default positioning mask; analyzing the facial image for obtaining multiple facial feature points from the same; creating multiple contour lines based on the multiple facial feature points, wherein the multiple contour lines at least depict facial contours and facial features of the user; establishing a customized positioning mask exclusively belonging to the user according to the multiple contour lines; and, storing the customized positioning mask for substituting the default positioning mask for the user.

Abstract: A method for analyzing and evaluating facial muscle status includes following steps: capturing user's face image through an image capturing unit of a face image analyzing apparatus after it is activated; analyzing the face image through an analyzing algorithm for obtaining multiple ideal muscle identifying points corresponding to five sense features of a face in the face image; identifying the face image through a fuzzy comparison algorithm and a training model for obtaining multiple actual muscle identifying points corresponding to actual muscle status of the face in the face image; evaluating each of the actual muscle identifying points and generating evaluated results based on the multiple ideal muscle identifying points in company with a pre-stored evaluation rule; and, displaying the multiple ideal muscle identifying points, the multiple actual muscle identifying points and the evaluated results on a display of the face image analyzing apparatus.

Abstract: A method for automatically marking muscle feature points on face implemented by a face image analysis apparatus (1) includes following steps: obtaining a to-be-identified image (2) showing a face of a user; performing a face recognition procedure to the to-be-identified image (2) for obtaining multiple strong reference points on the face; performing a fuzzy comparison procedure on the face of the to-be-identified image (2) based on a pre-trained training model (153) for generating a comparison result; automatically marking multiple muscle feature points (3) on the face according to the comparison result, wherein the multiple muscle feature points (3) respectively locate at multiple weak reference points of the face; and, displaying the multiple muscle feature points (3) and the to-be-identified image (2) on a display unit (11).

Abstract: The present invention relates to an improved structure of a bracket component for the press button of a mobile phone, more particularly to another improved design implemented in the interior of a printed circuit board having control button on it for a bracket component by using thin membrane touch switch within a mobile phone. The bracket component according to the present invention is a curved metallic guiding bracket wherein the corresponding surrounding.has an inward cut curve, and such cut curve design has a four supporting legs deposed around the aligned design on the printed circuit board allowing a better positioning function. Furthermore, the present invention with the cut curve design has a characteristic to resume the press keys more effectively, and in turn elongate the life of the bracket.