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: An image analysis device reads a reference image and a real-time image of a printed circuit board (PCB), determines feature points and feature information of the feature points in the reference image; and creates two 1×N matrices based on the feature points. Furthermore, a mapping matrix is determined based on the two 1×N matrices. The device then reads coordinates of base points designated in the reference image, and determines matching points in the real-time image based on the coordinates of base points and the mapping matrix. A reference region in the reference image is determined based on all the base points, and a matching region is determined in the real-time image based on all the matching points. The reference region and the matching region are compared to determine existence of any surface feature defects of the PCB.

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 for transferring one or more guest operating system (OS) using a remote server. The remote server periodically obtains a central processing unit (CPU) utilization ratio of each guest OS installed in each cloud server of the data center. The remote server counts the number of times of obtaining the CPU utilization ratio, and calculates a predicted average of the CPU utilization ratio for each cloud server if the counted number of the times is equal to a predetermined number. The remote server transfers one or more guest OS from the cloud server to other cloud servers before a predetermined time, in response to a determination that the predicted average of the CPU utilization ratio of the cloud server is greater than a predetermined average.

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: In a method for image localization of an object using an image capturing device, a panoramic image of the object is captured using the image capturing device. The panoramic image includes an image of the object and an image background of the object. One or more boundary points of the object image are obtained according to a pixel value of each pixel point of the object image. Actual coordinate values of each boundary point are calculated, and original coordinate values of each boundary point are obtained based on a standard image retrieved from a storage device. Localization coordinate values of each pixel of the object image are calculated according to the actual coordinate values and the original coordinate values of each boundary point, and a sub-pixel localization image of the object is generated by mapping to the localization coordinate values of each of the pixel points.

Abstract: A computing device and method detects a tiredness state of a user. A camera positioned on a display device captures images of the user when the user is positioned in front of the camera. The computing device analyzes the images to obtain eye parameters of the eye of the user. The computing device reminds the user to have a rest, in response to a determination that the eye parameters of the eye of the user match predetermined eye parameters of the eye of the user.

Abstract: In a method for configuring assembly information of a data center using a computing device, the data center includes racks, and each of the racks includes data nodes. Each of the data nodes includes drawers, and each of the drawers has one or more motherboards and hard disks. The method determines a placement position of each of the motherboards in each of the drawers according to the center of gravity of the motherboard and the center point of the drawer, and determines a placement position of each of the hard disks according to the center of gravity of the hard disk and the center point of the drawer. The method determines a placement position of each of the drawers in the data node, and generates a report of the data center accordingly which can be used for assembly and reference relating to the data center.

Abstract: An image analysis device reads a reference image and a real-time image of a printed circuit board (PCB), determines feature points and feature information of the feature points in the reference image; and creates two 1×N matrices based on the feature points. Furthermore, a mapping matrix is determined based on the two 1×N matrices. The device then reads coordinates of base points designated in the reference image, and determines matching points in the real-time image based on the coordinates of base points and the mapping matrix. A reference region in the reference image is determined based on all the base points, and a matching region is determined in the real-time image based on all the matching points. The reference region and the matching region are compared to determine existence of any surface feature defects of the PCB.

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 network configuration method of a baseboard management controller (BMC) reads network port information of the BMC. The BMC connects to a network via at least one network interface device that includes more than one network port. A current active network port is determined from network ports of the at least one network interface device according to the current network port information of the BMC. If the current active network port does not works properly, a new active network port is determined from the network ports. The network port information of the BMC is updated according to the new active network port.