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Ame S-912 Image Grabber Driver

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AME S-912 IMAGE GRABBER TREIBER HERUNTERLADEN

Type: Driver
Rating:
4.01
4 (4.01)
Downloads: 7
File Size: 8.1 MB
Supported systems: Windows 2K, Windows XP, Windows Vista, Windows Vista 64 bit, Windows 7, Windows 7 64 bit, Windows 8, Windows 8 64 bit, Windows 10
Price: Free* (*Free Registration Required)

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Ame S-912 Image Grabber Driver

For example, the camera may be positioned to capture an area in front of a doorway subject to access control, an area in front of a computer terminal, etc. Because Ame S-912 Image Grabber video sequence captured by the camera is of a real subject, the example visual authentication verifier of the video-based authentication system does not detect any regions of fluctuating pixels in a sequence of input images obtained from the video sequence captured by the camera Because the video sequence captured by the camera depicts content generated by a video display, the example visual authentication verifier of the video-based authentication system detects one or more regions of fluctuating pixels in the sequence of input images obtained from the video sequence captured by the camera The example image Ame S-912 Image Grabber of FIG.

AME S-912 IMAGE GRABBER WINDOWS 10 DOWNLOAD DRIVER

In the illustrated example, the second sequence of input images is the sequence of input images to be used by the Ame S-912 Image Grabber authentication verifier to determine whether the video captured by the camera is valid or is associated with a spoofing attack. For example, the second e.

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In such examples, the image grabber captures the first sequence of Ame S-912 Image Grabber images from the camera video output at a first e. For example, if the second e. The image selector of the illustrated then downsamples e. In some examples, the image selector utilizes a random number generator to select one input image from a respective group of input images.

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In some examples, the image selector utilizes a pre-defined selection pattern, a round-robin technique, etc. The example fluctuating pixel detector of FIG. In the illustrated example, the candidate region identifier processes successive pairs of difference images in the sequence of difference images to identify fluctuating pixels. For example, the candidate region identifier may determine that a pixel is a fluctuating pixel if Ame S-912 Image Grabber a first difference image indicates that the value e.

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The second threshold amount may be the same or Ame S-912 Image Grabber from e. If the candidate region identifier determines that the value of an examined pixel location has returned to be within the second threshold amount, then the candidate region Ame S-912 Image Grabber determines that pixel at the examined location fluctuated between at least two values e. Then, the candidate region identifier determines the number of pixels included in each group of neighboring fluctuating pixels. In the illustrated example, the fluctuation evaluator compares the respective numbers of pixels included in the groups of neighboring fluctuating pixels to a threshold number e.

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If any of the groups of neighboring fluctuating pixels contains a number of pixels that satisfies e. Additionally, in some examples, the fluctuation evaluator identifies Ame S-912 Image Grabber region s of fluctuating pixels as corresponding to the location s of the group s of neighboring fluctuating pixels satisfying the threshold number of pixels.

Assuming the example fluctuation evaluator of the fluctuating pixel detector determines that the number of pixels included in the example region 1 satisfies the threshold number described above, the region 1 is identified as a fluctuating pixel region. Further still, Ame S-912 Image Grabber example video-based authentication system of FIGS. Further, although the example program s is are described with reference to the flowcharts illustrated in FIGS. For example, with reference to the flowcharts illustrated in FIGS. As used herein, "tangible computer readable storage medium" and "tangible machine readable storage medium" are used interchangeably. Additionally or alternatively, the example processes of FIGS.

As used herein, when the phrase "at least" is used as the transition term in a preamble of a claim, it is open-ended in the same manner as the term "comprising" is open ended. Also, as used herein, the terms "computer readable" and "machine readable" are considered equivalent Ame S-912 Image Grabber indicated otherwise.

The example program may be executed when the example video-based authentication system is activated e. With reference to the preceding figures and associated written descriptions, the example program of FIG.

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An example program that may be used to implement the processing at block is illustrated in FIG. If one or more regions having fluctuating pixel values were detected blockthen at block the video sequence validator determines, as described above, that the sequence of input images is associated with a Ame S-912 Image Grabber attack.

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Accordingly, in some examples, at block the video sequence validator prevents the example access controller of the video-based authentication system from performing authentication using the video sequence from the camera However, if Ame S-912 Image Grabber regions having fluctuating pixel values were detected blockthen at block the video sequence validator determines that the Ame S-912 Image Grabber of input images is valid. With reference to the preceding figures and associated written descriptions, the example program P of FIG.

At blockthe example image selector of the image capturer 1 15 groups the images of the first sequence into successive groups of input images containing respective numbers of images determined by the relationship e. At blockthe image selector randomly selects one input image from each one of the successive groups of input images to form a second sequence of input images for further evaluation, as described above. With reference to the preceding figures and associated written descriptions, the example program 51 OP of FIG. At blockthe example candidate region identifier of the fluctuating pixel detector processes, as described above, successive pairs of difference images in the sequence of Ame S-912 Image Grabber images to identify fluctuating pixels, which are pixels that fluctuate between at least two values across three successive images which may or may not be adjacent in the sequence of input images being evaluated.

At blockthe candidate region identifier Ame S-912 Image Grabber neighboring fluctuating pixels into groups of fluctuating pixels, as described above. If any group of neighboring fluctuating pixels satisfies the threshold number of pixels blockthen at block the fluctuation evaluator determines that the sequence of input images includes regions of fluctuating pixels, as described above. Otherwise, if no group of neighboring Ame S-912 Image Grabber pixels satisfies the threshold number of pixels blockthen at block the fluctuation evaluator determines that the sequence of input images does not have any regions of fluctuating pixels.

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