Abstract: The disclosure provides a limit device and a robot using the same. The limit device comprises a first connecting member, a transmission rod and a second connecting member. The first connecting member comprising a first main body portion and two first connecting elements. The two first connecting elements are arranged at intervals. The two first connecting elements are respectively connected to the first main body. The transmission rod comprising a first end and a second end. The first end and the second end are arranged at intervals. The first end penetrates through one of the two first connecting elements. The second end penetrates through the other one of the two first connecting element. The second connecting member provided with two indexing buckles. The two indexing buckles are arranged at intervals, each of the indexing buckles comprises a first limiting groove and a second limiting groove.

Abstract: Techniques for allocation of storage volumes are described. Response times of a primary storage may be monitored to determine if the primary storage is input/output limited. A performance assist storage volume may be allocated and data replicated between the primary storage and the performance assist storage volume. Input/output requests may be distributed between the primary storage and the performance assist storage volume.

Abstract: A surveillance system includes a video capturing device and a power controller. The video capturing device includes an auto focusing module, an auto exposure module, and an auto white balance module. The video capturing device captures a number of images in a first time interval and also captures a number of images in a second time interval next to the first time interval. The power controller includes an object detecting module and a switching module. The object detecting module detects whether there is a moving object in the images captured in the first time interval. The switching module switches off the auto focusing module, the auto exposure module, and the auto white balance module in the second time interval when the objecting detecting module detects that there is no moving object.

Abstract: Provided is a system for detecting moving objects. The system includes a video capturing device and a detection unit. The video capturing device captures “n” pieces of consecutive images during a time period, where “n” represents a positive integer. The detecting unit selects one of the images as a reference images and processes the other n?1 pieces of images. The detecting unit differentiates the n?1 pieces of images relative to the reference image, grays the differentiated n?1 pieces of images, binarizes the grayed n?1 pieces of imaged, blurs the binarized n?1 pieces of images, dilates the blurred n?1 pieces of images, and detects edges from the dilated n?1 pieces of images.

Abstract: This document describes, in various implementations, features related to receiving, at a storage system that includes a storage volume and a plurality of storage devices that operate separately from the storage volume, read requests directed to data stored on the storage volume. The document also describes replicating certain data stored on the storage volume to the storage devices such that read requests associated with the certain data are fulfilled either by the storage volume or by the storage devices. The document also describes determining first usage information that is indicative of actual or expected usage of the storage system at a first time, and powering down at least one of the storage devices based on the first usage information.

Abstract: Storage drives configured as an m-way mirroring disk array with a primary set with a primary portion on each storage drive member in the array and (m?1) mirror sets with mirror portions on each storage drive member in the array to store duplicated data blocks of the primary set, each of the drives to have a primary portion and at least one mirror portion arranged in a stacked configuration. Generate primary write requests to write the data blocks to one or more of the primary portions of the primary set of the plurality of drives, and generate a corresponding mirroring requests to write the duplicated data blocks to corresponding mirror portions of the mirror sets of the drives, wherein, to preserve data redundancy, the primary portion and the corresponding one or more mirror portions with the duplicated data of the primary portion are to reside on different drives.

Abstract: A flicker detecting apparatus for a camera module includes a processor. The processor includes a brightness values reading module, a calculating module, and a determining module. The brightness values reading module reads out a number of brightness values from a number of pixels of pictures captured by the camera module. The calculating module calculates out brightness values differences between the pixels. The determining module compares the brightness values differences with a preset value to determine whether the camera module is acceptable.

Abstract: A test system for testing a camera module is provided. The camera module includes a voice coil motor and a lens received in the voice coil motor. The test system includes a first focus activating unit, a second focus activating unit, and a timing unit. The first focus activating unit controls the voice coil motor to drive the lens to move from the initial position to the focusing position for achieving a first time focus and obtains a control signal. The second focus activating unit controls the voice coil motor to drive the lens to replace to the initial position and then move the lens from the initial position to the focusing position again for achieving a second time focus. The timing unit records a first moment when the lens is replaced to the initial position and a second moment when the lens is at the focusing position again.

Abstract: A test system for testing a camera module is provided. The camera module includes a voice coil motor and a lens received in the voice coil motor. The test system includes a first focus activating unit, a second focus activating unit, and a timing unit. The first focus activating unit controls the voice coil motor to drive the lens to move from the initial position to the focusing position for achieving a first time focus and obtains a control signal. The second focus activating unit controls the voice coil motor to drive the lens to replace to the initial position and then move the lens from the initial position to the focusing position again for achieving a second time focus. The timing unit records a first moment when the lens is replaced to the initial position and a second moment when the lens is at the focusing position again.

Abstract: Provided is a system for detecting moving objects. The system includes a video capturing device and a detection unit. The video capturing device captures “n” pieces of consecutive images during a time period, where “n” represents a positive integer. The detecting unit selects one of the images as a reference images and processes the other n?1 pieces of images. The detecting unit differentiates the n?1 pieces of images relative to the reference image, grays the differentiated n?1 pieces of images, binarizes the grayed n?1 pieces of imaged, blurs the binarized n?1 pieces of images, dilates the blurred n?1 pieces of images, and detects edges from the dilated n?1 pieces of images.

Abstract: A surveillance system includes a video capturing device and a power controller. The video capturing device includes an auto focusing module, an auto exposure module, and an auto white balance module. The video capturing device captures a number of images in a first time interval and also captures a number of images in a second time interval next to the first time interval. The power controller includes an object detecting module and a switching module. The object detecting module detects whether there is a moving object in the images captured in the first time interval. The switching module switches off the auto focusing module, the auto exposure module, and the auto white balance module in the second time interval when the objecting detecting module detects that there is no moving object.

Abstract: A system includes a display, a video capturing device mounted on the display, and a brightness controller. The video capturing device captures N number of consecutive images during a time period. The brightness controller includes an object detecting unit for selecting one of the N number of images as a reference image and processing the other n?1 number of images relative to the reference image to detect any user of the display, a position determining unit for detecting a position of the user and determining any movement vector of the user of the N?1 images, a state determining unit for determining if the user is or is not using the display according to any movement vector of the user, and a brightness adjusting unit for adjusting a brightness of the display accordingly.

Abstract: A flicker detecting apparatus for a camera module includes a processor. The processor includes a brightness values reading module, a calculating module, and a determining module. The brightness values reading module reads out a number of brightness values from a number of pixels of pictures captured by the camera module. The calculating module calculates out brightness values differences between the pixels. The determining module compares the brightness values differences with a preset value to determine whether the camera module is acceptable.

Abstract: A spot or anomaly detecting system include a camera module and a signal processor. The camera module captures an image. The signal processor includes an area partition module, a brightness detection module, and a calculating module. The area partition module receives the image, and divides the image into a plurality of detecting areas. The brightness detection module reads the brightness of the plurality of detecting areas. The calculating module has a critical brightness ratio being pre-stored, and calculates a proportionality of the brightness of each test point relative to the brightness of the detecting area immediately around the test point, and then determining the test point to be a spot or not by contrasting the calculated proportionality against the critical brightness ratio. If the calculated proportionality is not more than the critical brightness ratio, the test point is deemed an anomaly.

Abstract: Techniques for allocation of storage volumes are described. Response times of a primary storage may be monitored to determine if the primary storage is input/output limited. A performance assist storage volume may be allocated and data replicated between the primary storage and the performance assist storage volume. Input/output requests may be distributed between the primary storage and the performance assist storage volume.

Abstract: A system having input/output hot spot tracking is disclosed. The storage system includes a storage device, a host controller coupled to the storage device, and a tracking engine coupled to the host controller and the storage device. The host controller is configured to managed input/output of the storage device. The tracking engine includes a storage map cycling between active status and passive status. Input/output commands are stored in the storage map during the active status. Like input/output commands in the storage map during active status are counted and compared to a number. Counts greater than the number are reported as input/output hot spots.

Abstract: A system having input/output hot spot tracking is disclosed. The storage system includes a storage device, a host controller coupled to the storage device, and a tracking engine coupled to the host controller and the storage device. The host controller is configured to managed input/output of the storage device. The tracking engine includes a storage map cycling between active status and passive status. Input/output commands are stored in the storage map during the active status. Like input/output commands in the storage map during active status are counted and compared to a number. Counts greater than the number are reported as input/output hot spots.

Abstract: An exemplary shading detecting method for a camera module is provided. In the method, a plurality of brightness values are measured from a plurality of predetermined regions of a stable rectangular image generated by the camera module. A plurality of brightness differences, each based on a comparison between a respective two of the brightness values, chosen from among the brightness values measured, are calculated. Each brightness difference is judged as to whether it exceeds a corresponding predetermined threshold. If at least one brightness difference is judged to exceed the corresponding threshold, the camera module is a rejected. A corresponding shading detecting apparatus, for facilitating the shading detecting method, is also provided.

Abstract: A system for testing a camera module is provided. The system includes a computer and a testing fixture. The testing fixture is connected with the computer. The testing fixture is configured for holding the camera module, converting an image of an image testing chart obtained by the camera module into a computer-recognizable format, and transmitting the converted image to the computer. The computer includes: an area dividing module, an image testing module, and a judging module. The area dividing module is configured for dividing the image into several testing areas. The image testing module is configured for computing values of test factors of the testing areas. The comparison module is configured for determining whether the test factors are satisfactory through comparing the values of the test factors with respective predetermined values. A related method for testing a camera module is also provided.

Abstract: An exemplary shading detecting method for a camera module is provided. In the method, a plurality of brightness values are measured from a plurality of predetermined regions of a stable rectangular image generated by the camera module. A plurality of brightness differences, each based on a comparison between a respective two of the brightness values, chosen from among the brightness values measured, are calculated. Each brightness difference is judged as to whether it exceeds a corresponding predetermined threshold. If at least one brightness difference is judged to exceed the corresponding threshold, the camera module is a rejected. A corresponding shading detecting apparatus, for facilitating the shading detecting method, is also provided.