Abstract: In a method for validating speed of a fan of an electronic device, different speeds of the fan are set for validation. The method controls the fan to operate under each of the set speeds in turn, and controls a camera device to continuously capture images of the fan with a shutter speed of the camera device corresponding to the set speed. The images are transmitted to a comparison unit to be analyzed for sameness and clarity. The fan is determined to work abnormally if not all the images are sameness or if at least one image is unclear, and the fan is determined to work normally if all the images are sameness or clear. A validation report is generated to indicate whether the fan is normal or abnormal according to the determination.

Abstract: A method captures images of objects using an image capturing apparatus. The method obtains x-coordinate values, y-coordinate values, and z-coordinate values of the accelerations of a camera device sensed by a gravity sensor in a default time interval, calculates three-dimensional coordinate differences according to the obtained x-coordinate, y-coordinate, and z-coordinate values, and determines whether the three-dimensional coordinate differences are less than corresponding predefined thresholds. If at least one coordinate difference is not less than a corresponding predefined threshold, the method delays a period of time to obtain the x-coordinate, y-coordinate, and the z-coordinate values in a next default time interval. If all the three-dimensional coordinate differences are less than the corresponding predefined thresholds, the method controls the camera device to capture images of the subject object.

Abstract: A positioning apparatus to position an object defining a receiving space includes a bracket, a positioning block, a positioning sensor, a number of positioning suction nozzles, a row of light transmitters, a row of light sensors, and a controller electrically coupled to the positioning sensor and the light sensors. The bracket includes a supporting plate. The positioning block is mounted on the supporting plate. The positioning sensor and positioning suction nozzles are installed to the positioning block. The light transmitters and the light sensors are mounted on two opposite sides of the supporting plate. The object is supported on the supporting plate, and the positioning block is received in the receiving space of the object. The controller controls the positioning suction nozzles to suck the object. The row of light transmitters and the row of light sensors are used for testing whether the object is positioned or not.

Abstract: An electronic device stores haar-like features and geometrical features of an object. A reference image of the object is created according to the geometrical features of the object. An outline image is obtained from each image of the object. The electronic device calculates derivatives of each two adjacent points on the reference image and each outline image. A derivative matrix of the reference image and a derivative matrix of each outline image are generated. The electronic device generates a first derivative curve corresponding to the derivative matrix of the reference image and a second derivative curve corresponding to each derivative matrix of the outline image. When all the second derivative curves are the same as the first derivative curve, the electronic device determines whether each outline image is corresponding to the object by using the haar-like features of the object.

Abstract: A test apparatus and method for testing a server are provided. The server includes a CPU group and a memory module. The test apparatus is electrically coupled to the CPU group and the memory module. The CPU group includes a number of CPUs, where each CPU is coupled to other CPUs through a plurality of QPI buses. The test apparatus includes a first copying control unit, a second copying control unit and a calculation unit. The first copying control unit controls each CPU to copy data stored in the memory module to a cache of the CPU and records the copying time duration. The second copying control unit controls each CPU to copy data stored in the memory module to caches of other CPUs and records the copying time duration. The calculation unit obtains copying speed according to the copying time duration.

Abstract: A fixture for fixing a workpiece with curved surface is provided. The fixture includes a first fixing member and a second fixing member magnetically attractable to the first fixing member. The workpiece is sandwiched between the first fixing member and the second fixing member. An area of the first fixing member is larger than that of the workpiece, and an area of the second fixing member is smaller than that of the workpiece.

Abstract: A test method for an electronic device is provided. The method includes the following steps. A test file is obtained from a main server. The electronic device is tested according to the test file and a test result is generated. The test result is output to an interface of the electronic device that can be accessed by the main server. The main server polls the test result from the interface of the electronic device each time a predetermined time duration elapses. An electronic device with testing function and a test system are also provided.

Abstract: In a method for adjusting a light source in an automatic optic inspection process, a light source is controlled to irradiate a testing platform, the testing platform fixing a test object in the automatic optic inspection process. An image capturing device is controlled to capture images of the reference object when the reference object moves among corners of the testing platform, and an average brightness of each captured image is computed when the captured images are obtained from the image capturing device. A number of pixels in each predefined brightness section of each captured image is recorded if the average brightness of all the captured images are equal, and the light source is adjusted such that numbers of the pixels in a predefined brightness section of each captured image are equal if the numbers of the pixels in the predefined brightness section of each captured image are not equal.

Abstract: A server cluster deployment method includes obtaining an operation system image from a server and loading an operation system corresponding to the operation system image on a father terminal. The operation system image is stored in a storage module of the father terminal. A child terminal requests the operating system image from the father terminal. If a number of child terminals that have obtained the operating system image from the father terminal is less than a preset value, the father terminal transmits the operation system image to the child terminal. If the number of child terminals that have obtained the operating system image from the father terminal is greater than the preset value, the request is transferred to another father terminal to transmit the operating system to the child terminal.

Abstract: A computing device and a method for controlling access to driver programs obtains a first system time at the time that an application uses a CTL_CODE to access a driver program. The first system time and the CTL_CODE is encrypted to generate an encrypted CTL_CODE which is then sent to the driver program. The encrypted CTL_CODE is decrypted to obtain the first system time and the CTL_CODE therein. A second system time at the time that the driver program receives the encrypted CTL_CODE is obtained and compared with the first system time. Access to the driver program is allowed if a difference between the first system time and the second system time falls within a predetermined range, and access to the driver program is forbidden if the difference is beyond the predetermined range.

Abstract: In a system and method for optimizing images, a digital image of an object is captured by an image capturing device, and a standard image of the object is obtained from a storage system of a computing device. The system calculates an image average energy density (IAED) value of the digital image based on RGB (red, green, blue) channels of the digital image, and calculates an IAED value of the standard image based on RGB channels of the standard image. The system is further calculates a difference between the IAED value of the digital image and the IAED value of the standard image, and applies any difference to optimize every pixel point of the digital image to generate optimized pixel points. The system integrates all the optimized pixel points or original pixel points to generate an optimized image for display.

Abstract: An electronic device stores haar-like features and geometrical features of an object. A reference image of the object is created according to the geometrical features of the object. An outline image is obtained from each image of the object. The electronic device calculates derivatives of each two adjacent points on the reference image and each outline image. A derivative matrix of the reference image and a derivative matrix of each outline image are generated. The electronic device generates a first derivative curve corresponding to the derivative matrix of the reference image and a second derivative curve corresponding to each derivative matrix of the outline image. When all the second derivative curves are the same as the first derivative curve, the electronic device determines whether each outline image is corresponding to the object by using the haar-like features of the object.

Abstract: A method improves color of projected images using a projector. The method calculates a first improvement factor, a second improvement factor and a third improvement factor, divides an original image into a red picture, a green picture and a blue picture. The method multiplies a pixel value of each pixel point of the red picture by the first improvement factor to obtain an improved red picture, multiplies a pixel value of each pixel point of the green picture by the second improvement factor to obtain an improved green picture, and multiplies a pixel value of each pixel point of the red picture by the third improvement factor to obtain an improved blue picture. The method combines the improved red, green and blue pictures to generate a combined image, and projects the combined image on a projection area to obtain the projected image having similar color to the original image.

Abstract: In a method for marking discrepancies of a captured image of an object, an image is captured and compared to a standard image. A discrepant image showing any discrepancies of the captured image is generated, and is separated into an R grayscale image, a G grayscale image, and a B grayscale image. An R channel matrix group, a G channel matrix group, and a B channel matrix group are created. R channel negative matrixes, G channel negative matrixes, and B channel negative matrixes are determined from the RGB channel matrix groups. RGB pixel groups are calculated based on the R channel negative matrixes, the G channel negative matrixes, and the B channel negative matrixes. A target pixel group to be marked is determined by calculating an intersection of the RGB pixel groups. The discrepancies of the digital image are marked out according to the target pixel group.

Abstract: A method corrects trapezoid distortion of projected images using a projector. The projector includes a projection lens, a driver device, an image capturing device, and a storage system. A rectangular picture is read from the storage system and projected on a projection area by the projection lens. The method controls the image capturing device to capture an image from the projection area when the projection lens increases one trapezoid row correction grade, and corrects each trapezoid row of the captured image if the captured image has trapezoid rows. The method further controls the image capturing device to capture an image from the projection area when the projection lens increases one trapezoid column correction grade, and corrects each trapezoid column of the captured image if the captured image has trapezoid columns.

Abstract: An electronic device includes a network interface port, a processing unit, a network card, a serial interface, and a microchip. The network interface port connects to a debugging host or connects to an external network. The processing unit is connected to the network interface port. The network card is connected to the processing unit. The microchip is connected to the processing unit through the serial interface. The processing unit determines whether the network interface port is connected to the debugging host or connected to the external network, and selectively connects the network card or the serial interface to the network interface port according to the determination.

Abstract: A method for automatically focusing a projector includes a projection lens, a driver device and an image capturing device. The method sets an interval step according to a focusing range of the projection lens, reads a predefined picture from a storage system of the projector, and controls the projection lens to project the picture to a projection area. The method controls the image capturing device to capture an image of the picture from the projection area when the projection lens moves at every interval step, and analyzes a contrast of each of the images to determine an optimal image from the images. The method determines a current focus of the projection lens having the optimal image as an optimal focus of the projection lens, and drives the driver device to control the projection lens to move at the optimal focus.

Abstract: In a method for identifying discrepancy of a captured digital image of an object, a standard image of the object is obtained. A first difference value between an IAED value of the digital image and an IAED value of the standard image is calculated. Both the two images are divided into N pixel blocks. A second difference value between an IAED value of each pixel block of the digital image and an IAED value of each pixel block of the standard image is calculated. A coefficient T is generated for comparing the digital image and the standard image, and each block of the digital image is compared with each pixel block of the standard image. The same pixel blocks between the digital image and the standard image are eliminated from the digital image, and a discrepant image is generated according to remaining pixel blocks of the digital image.

Abstract: A method to dynamically redistributes guest OSes in a data center using a remote server. The remote server searches for one or more guest OSes from the host OS, if the obtained CPU utilization percentage of the host OS exceeds a predetermined CPU utilization percentage. The remote server redistributes all of the guest OS in the data center using a knapsack algorithm, if no other host OS is capable of receiving the one or more searched guest OSes. The remote server transfers the one or more searched guest OSes to other host OS if the other host OS is capable of receiving the one or more searched guest OSes.

Abstract: In a method for adjusting projected images of a projector, a first image of a projection area is captured using an image capturing unit, and a second image of the projection area is capture after a predetermined interval. A background area of the second image is determined if the projected image of the projection area is determined as a static image by comparing the first image with the second image. The second image is divided into M pixel blocks, and brightness value of each pixel block is adjusted if a color of the pixel block is approximative to a color of the background area. A projection image is generated using the adjusted image of the second image, and the generated image is projected on the projection area.