Abstract: A probe head includes a probe seat, and vertical probes each having a head portion including a head portion installation section with a first width, and a probe tip section including a probe tip contact part with a second width smaller than the first width and a probe tip gradually narrowing part which is located between the head portion installation section and the probe tip contact part, gradually narrows from the first width to the second width, and has a first length smaller than a second length of the probe tip contact part. The head portion installation section protrudes out of a lower surface of the probe seat for a length smaller than the sum of the first and second lengths. The vertical probe is great in current withstanding capability, structural strength and life time, and meets the requirement of probing tiny electrically conductive contacts.

Abstract: A method includes generating a disparity map according to two sets of image data, identifying at least one object in the disparity map, mapping the at least one object onto a plane view, tracking at least one object on the plane view, and providing a robust algorithm about a cross-line time interval and a cross-line degree. The robust algorithm includes detecting whether the at least one object enters a predetermined region when the at least one object crosses a predetermined boundary.

Abstract: A method includes generating a disparity map according to two sets of image data, identifying at least one object in the disparity map, mapping the at least one object onto a plane view, tracking at least one object on the plane view, and providing a robust algorithm about a cross-line time interval and a cross-line degree. The robust algorithm includes detecting whether the at least one object enters a predetermined region when the at least one object crosses a predetermined boundary.

Abstract: A method for intensifying identification of three-dimensional objects identification includes utilizing a left eye camera and a right eye camera to capture a left eye image and a right eye image, calibrating the left eye image and the right eye image to generate a calibrated left eye image and a calibrated right eye image, using the calibrated left eye image and the calibrated right eye image to generate a disparity map, differentiating a three-dimensional object from a background image according to the disparity map, projecting the three-dimensional object onto a plan view, filtering noise out of the plan view to generate a filtered three-dimensional object, determining whether the filtered three-dimensional object contains at least two three-dimensional objects, and separating the at least two three-dimensional objects if the filtered three-dimensional object contains at least two three-dimensional objects.

Abstract: A method for intensifying identification of three-dimensional objects identification includes utilizing a left eye camera and a right eye camera to capture a left eye image and a right eye image, calibrating the left eye image and the right eye image to generate a calibrated left eye image and a calibrated right eye image, using the calibrated left eye image and the calibrated right eye image to generate a disparity map, differentiating a three-dimensional object from a background image according to the disparity map, projecting the three-dimensional object onto a plan view, filtering noise out of the plan view to generate a filtered three-dimensional object, determining whether the filtered three-dimensional object contains at least two three-dimensional objects, and separating the at least two three-dimensional objects if the filtered three-dimensional object contains at least two three-dimensional objects.

Abstract: Comparison of parameters, including width, length, depth, color, and shape of a target object with a reference object is performed through use of a stereo camera. If the parameters of the target object are within threshold values of the parameters of the reference object, a match is indicated. If not, a new reference object is selected for comparison with the target object.

Abstract: Comparison of parameters, including width, length, depth, color, and shape of a target object with a reference object is performed through use of a stereo camera. If the parameters of the target object are within threshold values of the parameters of the reference object, a match is indicated. If not, a new reference object is selected for comparison with the target object.

Abstract: A method to calculate a transform coordinate on a second video of an object having an target coordinate on a first video and related operation process and video surveillance system are disclosed. The method includes the steps of generating the first video with a first video surveillance device, generating the second video with a second video surveillance device, selecting a first predetermined number of first reference objects also existing on the second video from the first video, calculating a plurality of coordinate transform coefficients of a first coordinate transform function according to the first predetermined number of first coordinates where the first reference objects are on the first video and the first predetermined number of second coordinates where the first reference objects are on the second video, and substituting the target coordinate into the first coordinate transform function, which had the first coordinate transform coefficients, and calculating the transform coordinate.

Abstract: A method for enhancing video data includes inputting image data, providing a first threshold, generating a first mean gray level, generating a first minimum gray level, generating a first maximum gray level, generating a second mean gray level, generating a second minimum gray level, and generating a second maximum gray level. According to the first threshold, generate a second threshold, a third mean gray level, and a fourth mean gray level. According to the third mean gray level, the first gray level, and the first minimum gray level, generate a first gain. According to the fourth mean gray level, the second mean gray level, and the second minimum gray level, generate a second gain. Finally, according to the first mean gray level, the first gain, the third mean gray level, the second mean gray level, the second gain, and the fourth mean gray level; generate enhanced image data.

Abstract: A method to calculate a transform coordinate on a second video of an object having an target coordinate on a first video and related operation process and video surveillance system are disclosed. The method includes the steps of generating the first video with a first video surveillance device, generating the second video with a second video surveillance device, selecting a first predetermined number of first reference objects also existing on the second video from the first video, calculating a plurality of coordinate transform coefficients of a first coordinate transform function according to the first predetermined number of first coordinates where the first reference objects are on the first video and the first predetermined number of second coordinates where the first reference objects are on the second video, and substituting the target coordinate into the first coordinate transform function, which had the first coordinate transform coefficients, and calculating the transform coordinate.

Abstract: A method for enhancing video data includes inputting image data, providing a first threshold, generating a first mean gray level, generating a first minimum gray level, generating a first maximum gray level, generating a second mean gray level, generating a second minimum gray level, and generating a second maximum gray level. According to the first threshold, generate a second threshold, a third mean gray level, and a fourth mean gray level. According to the third mean gray level, the first gray level, and the first minimum gray level, generate a first gain. According to the fourth mean gray level, the second mean gray level, and the second minimum gray level, generate a second gain. Finally, according to the first mean gray level, the first gain, the third mean gray level, the second mean gray level, the second gain, and the fourth mean gray level; generate enhanced image data.

Abstract: A foam filter and the manufacturing method thereof is disclosed. The method for manufacturing a foam filter includes the following steps: First, mixing the polyvinyl alcohol (PVA) with water by heating until the PVA is dissolved to form a solution (A) and then cooling said solution (A). At the same time, mixing the vegetable starch with water to form a paste-type solution (B). After that, mixing said solution (A) with said solution (B) to form a solution (C) followed by adding formaldehyde, catalyst and active carbon into said solution (C) to form a paste mixture. Then soaking a polyurethane (PU) foam into said paste mixture and heating said paste mixture to acetalize said PVA therein. Finally, cooling said paste mixture.