Method is provided which includes mounting a touch screen protector to the front face of a portable electronic device. The front face has a declining surface portion extending along the outer perimeter thereof. The touch screen protector includes a planar sheet having a front side and a back side, an outer perimeter corresponding in shape to the device, and a transparent window portion. An opaque band is applied around the perimeter of the planar sheet, surrounding the transparent window portion. An adhesive layer is applied to the back side of the planar sheet for mounting the touch screen protector on the device. The planar sheet is sufficiently stiff such that a portion of the glass touch screen protector hangs over the declining surface portion of the front face of the portable electronic device when mounted thereon.

A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.

Disclosed is an electronic device and method for reducing burn-in on a display. The electronic device may include a display and a processor. The processor implements the method, including controlling the display to display a background screen and one or more windows on the background screen, confirming a location of a first window when the first window is selected by a user from among the one or more windows, generating a blurred window border to be applied to the first window based on the selection of the first window, and controlling the display to display the blurred window border along a boundary of the first window.

A mechanism is described for facilitating person tracking and data security in machine learning at autonomous machines. A method of embodiments, as described herein, includes detecting, by a camera associated with one or more trackers, a person within a physical vicinity, where detecting includes capturing one or more images the person. The method may further include tracking, by the one or more trackers, the person based on the one or more images of the person, where tracking includes collect tracking data relating to the person. The method may further include selecting a tracker of the one or more trackers as a preferred tracker based on the tracking data.