Abstract: A shaftless fan includes a fan stator, a vane rotor and a rolling bearing. The rolling bearing is installed between the fan stator and the vane rotor and includes an inner ring, an outer ring, and a plurality of rolling elements rollably installed between the inner and outer rings, and the inner and outer rings of the rolling bearing are rotated in opposite direction with respect to each other, so that the vane rotor can be rotated on the fan stator to connect the fan stator with the vane rotor through the rolling bearing, so as to achieve the shaftless effect.

Abstract: A thinned heat dissipation fan with core reversely installed includes: a base including a bottom plate and a lateral wall formed at the periphery of the bottom plate; a circuit unit disposed on the bottom plate; a core welded in a core welding hole formed on the bottom plate of the base or welded in a core welding hole of a sleeve seat fastened on the base; and a rotor set including a hub, a plurality of blades disposed at the periphery of the hub, a bearing module and a permanent magnet disposed at the inner sides of the plural blades, wherein the hub is formed with a bearing opening, the bearing module is fastened in the bearing opening, and the core is inserted in the bearing module. The above-mentioned welding means is preferably to be a laser welding means.

Abstract: A shaftless fan includes a fan stator, a vane rotor and a rolling bearing. The rolling bearing is installed between the fan stator and the vane rotor and includes an inner ring, an outer ring, and a plurality of rolling elements rollably installed between the inner and outer rings, and the inner and outer rings of the rolling bearing are rotated in opposite direction with respect to each other, so that the vane rotor can be rotated on the fan stator to connect the fan stator with the vane rotor through the rolling bearing, so as to achieve the shaftless effect.

Abstract: A thinned heat dissipation fan with core reversely installed includes: a base including a bottom plate and a lateral wall formed at the periphery of the bottom plate; a circuit unit disposed on the bottom plate; a core welded in a core welding hole formed on the bottom plate of the base or welded in a core welding hole of a sleeve seat fastened on the base; and a rotor set including a hub, a plurality of blades disposed at the periphery of the hub, a bearing module and a permanent magnet disposed at the inner sides of the plural blades, wherein the hub is formed with a bearing opening, the bearing module is fastened in the bearing opening, and the core is inserted in the bearing module. The above-mentioned welding means is preferably to be a laser welding means.

Abstract: Disclosed herein are systems methods and devices related to region detection of an image. Detected regions include pixels of a particular one or more colors without requiring faces within the image to be previously detected. Region detection may include receiving information that a flash was used to capture the image or that return light was detected in the image.

Abstract: Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.

Abstract: Disclosed herein are systems methods and devices related to region detection of an image. Detected regions include pixels of a particular one or more colors without requiring faces within the image to be previously detected. Region detection may include receiving information that a flash was used to capture the image or that return light was detected in the image.

Abstract: Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.

Abstract: Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.

Abstract: Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.

Abstract: Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.

Abstract: Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.

Abstract: Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.

Abstract: Red-eye detection based on red region detection with eye confirmation initially identifies pixels that correspond to the color of red-eye within an image. A determination is then made as to whether these identified pixels and surrounding areas are part of an eye or not part of an eye. Those identified pixels that are determined to be part of an eye are the detected red-eye regions.