Abstract:
A character recognition method includes the stages as detailed in the following paragraph. An image is received, wherein the image is one in a plurality of consecutive images. A target object in the image is detected. Object information of the target object is defined according to the area ratio of the target object occupied in the image. Whether the target object in the image is the same as the target object in the previous image is determined according to the object information. Character recognition on the target object is performed to obtain a recognition result. The weighting score of the recognition result is calculated according to the object information and the recognition result. The weighting score of the recognition result of the target object in the consecutive images is accumulated until the weighting score is higher than a preset value, and the recognition result is output.
Abstract:
An automatic software audit system includes a client and a server. The client includes a network interface, a software installation record database, a software audit rule database, a software release database and a central processing unit (CPU). The network interface is coupled to the client. The software installation record databases stores a software installation record of the client. The software audit rule database stores a software audit rule. The software release database stores a software release record of the client. The CPU installs an agent program to the client to collect the software installation record, and generates a software audit result of the client according to the software installation record, the software audio rule and the software release record.
Abstract:
A dynamic resource management method for remote management of resources of resources devices by a cloud server is provided. The method includes: detecting resource-using-statuses of the resource devices to generate using-load parameters for the resources devices according to the resource-using-statuses of the resources devices by control devices installed on the resources devices; timely collecting, by the cloud server, the using-load parameters for the resources devices outputted by the control devices via a network; and upon receiving a using request corresponding to the resources devices from at least one smart device, performing, by the cloud server, a comparison according to the using-load parameters for the resources devices and the using request and performing resource using distribution on the resources devices to obtain resource-use planning based on the comparison result, thereby controlling the operation of the resource devices and replying to the using request of the smart device.
Abstract:
License management methods for use in a license management system are provided. The license management system includes licenses and first devices, each of which obtains one of the licenses. First, a license request from a second device is received and a license grade for each of the first devices and the second device is separately calculated based on a historical record of license usage corresponding to the first devices and the second device and an algorithm in response to the license request. Then, whether to agree the second device to obtain one of the licenses is determined according to the calculated grades and the number of remaining available licenses within the licenses.
Abstract:
An data search apparatus includes: a storage unit, storing a plurality of data; an input unit, inputting a data name, selecting a plurality of preference sets, and inputting a grading set by a user; a process unit, receiving the data name for searching for a plurality of candidate data from the data stored in a storage unit and generating a ranking result.
Abstract:
A content capturing system is suitable for capturing content in an image of a document. The content capturing system includes a processor and a storage device. The processor accesses the program stored in the storage device to implement a cutting module and a processing module. The cutting module receives a corrected image. The content in the corrected image includes a plurality of text areas, and the cutting module inputs the corrected image or a first text area into a convolutional neural network. The convolutional neural network outputs the coordinates of the first text area. The cutting module cuts the first text area according to the coordinates of the first text area. The cutting module inputs the cut first text area into a text recognition system and obtains a plurality of first characters in the first text area from the text recognition system.
Abstract:
A system including a network communication device, a storage device, and a controller is provided. The storage device stores first mappings between IP addresses and devices, and second mappings between software and devices. The controller obtains a connection log from the proxy server or the firewall device via the network communication device, uses the first mappings and the second mappings to analyze the connection log to determine one or more different connections between connections of devices on which first software is installed and connections of devices on which the first software is not installed, determines whether the first software functions normally on a first device blocking the different connections, and adds destination addresses of the different connections into a blocking list in response to the first software functioning normally on the first device, such that the proxy server or the firewall device blocks all connections towards the destination addresses.
Abstract:
An image-based object tracking system including a photographic device and a computing equipment is provided. The photographic device captures a first image of a scene at a first time and a second image of the scene at a second time subsequent to the first time. The computing equipment determines an area of the scene in the first and second images, which includes a midline of the scene in the first and second images, overlaps the first and second images for determining whether a distance between a first object in the first image and a second object in the second image is less than a predetermined threshold in response to the first object being in the area and the second object not being in the area, and updates an entry object count or an exit object count in response to the distance being less than the predetermined threshold.
Abstract:
An indoor positioning method for use in an indoor positioning system is provided. The indoor positioning system includes beacon devices, a mobile device, and a positioning server. The method includes the steps of: utilizing the mobile device to receive a positioning signal from each beacon device and determine distance information between the mobile device and each beacon device; determining a specific primary region in which the mobile device is located according to the distance information between the mobile device and the top beacon devices; determining a precise location in the specific primary region according to the distance information between the mobile device and the planar beacon devices corresponding to the specific primary region; and reporting the precise location to the mobile device, so that the precise location is illustrated on a plan view of the indoor space displayed on the mobile device.
Abstract:
A data-access system, adapted to a plurality of Cloud storage providers, including a processing module, an access module and a storage module. The processing module receives a file, and obtains a dismantling rule according to file information. The processing module further dismantles the file into a plurality of sub-files according to a storage signal and the dismantling rule. The access module respectively detects the status of the connection of the Cloud storage providers, and the sub-files are stored to at least two of the Cloud storage providers according to the connections statuses. The storage module stores the dismantling rule and the storage records correspond to the sub-files.