Abstract: A first and second patterned circuit layer are formed on a first surface and a second surface of a base material. A first adhesive layer is formed on the first patterned circuit layer. A portion of the first surface is exposed by the first patterned circuit layer. The metal reflection layer covers the first insulation layer and a reflectance thereof is greater than or equal to 85%, there is no conductive material between the first patterned circuit layer and the metal reflection layer, and the first adhesive layer is disposed between the first patterned circuit layer and the first insulation layer. A transparent adhesive layer and a protection layer are formed on the metal reflection layer. The transparent adhesive layer is disposed between the metal reflection layer and the protection layer. The protection layer comprises a transparent polymer. The light transmittance is greater than or equal to 80%.

Abstract: A base material is provided. A first patterned circuit layer and a second patterned circuit layer are formed on a first surface and a second surface of the base material. A first insulation layer and a metal reflection layer are provided on the first patterned circuit layer and a portion of the first surface exposed by the first patterned circuit layer, wherein the metal reflection layer covers the first insulation layer, and a reflectance of the metal reflection layer is substantially greater than or equal to 85%, there is no conductive material between the first patterned circuit layer and the metal reflection layer. A first ink layer is formed on the first insulation layer before the metal reflection layer is formed.

Abstract: The present disclosure provides image capture devices and associated methods that feature intelligent use of hardware-generated statistics. An example image capture device can include an imaging hardware pipeline that generates frames of imagery. The imaging hardware pipeline can generate one or more hardware-generated statistics based at least in part on, for example, the raw image data captured by the image sensor or intermediate image data within the pipeline. The image capture device can analyze the hardware-generated statistics to determine one or more metrics for the raw image data or the image. The image capture device can determine a downstream operation of the image capture device relative to the image based at least in part on the metrics determined from the hardware generated statistics.

Abstract: Techniques are provided for color correction of image frames, received from a hybrid RGBIR sensor, using resolution recovery of the red, green, blue (RGB), and infra-red (IR) channels. The color correction is to compensate for IR contamination of the RGB channels. A methodology implementing the techniques according to an embodiment includes a demosaic operation on the RGBIR image frame to generate full resolution red, green, blue, and IR frames. The demosaic operation includes filtering to extract Chroma and Luma components of the RGBIR image to reconstruct the full resolution images. The method also includes calculating an IR weighting factor for the pixels of each of the full resolution RGB frames, and correcting for IR contamination of those pixels by subtracting a scaled value of the corresponding pixels from the full resolution IR frame. The scaled value is based on the IR weighting factor associated with the pixel to be corrected.

Abstract: Disclosed embodiments include vacuum electronic devices, methods of operating a vacuum electronic device, and methods of fabricating a vacuum electronic device. In a non-limiting embodiment, a vacuum electronics device includes a cathode and an anode. At least one focus grid is disposed between the cathode and the anode, and the at least one focus grid is physically disconnected from the cathode. The at least one acceleration grid is disposed between the cathode and the anode, and the at least one acceleration grid is further disposed adjacent the at least one focus grid. The at least one acceleration grid is physically disconnected from the cathode.

Abstract: The present disclosure provides image capture devices and associated methods that feature intelligent use of hardware-generated statistics. An example image capture device can include an imaging hardware pipeline that generates frames of imagery. The imaging hardware pipeline can generate one or more hardware-generated statistics based at least in part on, for example, the raw image data captured by the image sensor or intermediate image data within the pipeline. The image capture device can analyze the hardware-generated statistics to determine one or more metrics for the raw image data or the image. The image capture device can determine a downstream operation of the image capture device relative to the image based at least in part on the metrics determined from the hardware generated statistics.

Abstract: Techniques are provided for color correction of image frames, received from a hybrid RGBIR sensor, using resolution recovery of the red, green, blue (RGB), and infra-red (IR) channels. The color correction is to compensate for IR contamination of the RGB channels. A methodology implementing the techniques according to an embodiment includes a demosaic operation on the RGBIR image frame to generate full resolution red, green, blue, and IR frames. The demosaic operation includes filtering to extract Chroma and Luma components of the RGBIR image to reconstruct the full resolution images. The method also includes calculating an IR weighting factor for the pixels of each of the full resolution RGB frames, and correcting for IR contamination of those pixels by subtracting a scaled value of the corresponding pixels from the full resolution IR frame. The scaled value is based on the IR weighting factor associated with the pixel to be corrected.

Abstract: A method for flicker detection based on a plurality of images and associated circuit is provided. The method includes providing an integrated flicker signal for each image, including accumulating pixel data of a number of pixels along each row; performing a motion compensation including: comparing two integrated flicker signals of two images, and accordingly providing a flicker signal difference; performing a flicker feature extraction including: applying a frequency analysis on the flicker signal difference, and accordingly providing a normalized flicker feature value; and performing a flicker determination, including: calculating a likelihood according to the normalized flicker feature value, and, according to the likelihood, determining whether a flicker-free hypothesis should be rejected in favor of a flicker-suffered hypothesis.

Abstract: An auxiliary mirror device for vehicles includes a fixation unit, a connection unit, and an auxiliary mirror. The fixation unit is adapted for coupling on a vehicle rear view mirror. The connection unit includes a connection rod coupled to the fixation unit, and a sleeve is engaged on the connection rod. A supporting rod disposed on the auxiliary mirror is received in the connection rod retractably. The connection unit further includes an adjustment barrel moveable relative to the sleeve and can be locked with of the sleeve. A tightening ring is engaged in the adjustment barrel and can be releasably compressed by the sleeve. A position of the auxiliary mirror relative to the side view mirror can be adjusted. When the auxiliary mirror is adjusted to a required position, the adjustment barrel can be operated for coupling and fixing the supporting rod and the connection rod together.

Abstract: A method for flicker detection based on a plurality of images and associated circuit is provided. The method includes providing an integrated flicker signal for each image, including accumulating pixel data of a number of pixels along each row; performing a motion compensation including: comparing two integrated flicker signals of two images, and accordingly providing a flicker signal difference; performing a flicker feature extraction including: applying a frequency analysis on the flicker signal difference, and accordingly providing a normalized flicker feature value; and performing a flicker determination, including: calculating a likelihood according to the normalized flicker feature value, and, according to the likelihood, determining whether a flicker-free hypothesis should be rejected in favor of a flicker-suffered hypothesis.

Abstract: An auxiliary mirror device for vehicles includes a fixation unit, a connection rod unit, and an auxiliary mirror. The fixation unit is adapted for coupling on a frame of a vehicle side view mirror. The connection rod unit includes a connection rod coupled inside a holder base of the fixation unit. A supporting rod is disposed on a back of the auxiliary mirror and inserted into the connection rod retractably, so that a position and/or an angle of the auxiliary mirror relative to the side view mirror can be adjusted. The connection rod unit further includes an adjustment member. When the auxiliary mirror is adjusted to a required position, the adjustment member can be operated for fixing the supporting rod and the connection rod together.