TWM640987U - video access system - Google Patents

Abstract

An image retrieval system is suitable for a company and includes a database, a processing module, a storage module and a communication module electrically connected to the processing module. The processing module establishes a connection with the database through the communication module, and executes a robotic process automation program when receiving a query command. In the robotic process automation program, the processing module obtains the corresponding one of the application form images stored in the database according to a project review image lookup table, and stores it in the storage module.

Description

video access system

The present invention relates to an image retrieval system, in particular to an image retrieval system which greatly shortens the retrieval time.

Financial operators such as banks or insurance companies need to cooperate with annual statutory and routine inspections, as well as special inspections with letters from the competent authority from time to time. These inspections or inspections require the industry to provide a large number of electronic image files, such as various applications. Book. The current practice is that the staff refers to the list that needs to be consulted, and adopts the method of manual operation. First, select the file category on the computer, and then enter the file number, then query the corresponding image file, and then select the download option, and the review has been completed. An image of an application form (that is, an image file). Therefore, whether there are other more time-saving systems to complete the retrieval of image files has become a problem to be solved.

Therefore, the purpose of the present invention is to provide an image retrieval system that effectively shortens the retrieval time.

Therefore, the present invention provides an image retrieval system, which is suitable for a company and includes a database, a storage module, a communication module, and a processing module.

The database stores multiple application form images of the company. The storage module is used for storing data. The communication module is used to provide networking function.

The processing module is electrically connected to the communication module and the storage module, establishes a connection with the database through the communication module, and is used for executing a robotic process automation (RPA) program. When the processing module receives a query command, it executes the robotic process automation program. In the robotic process automation program, the processing module obtains the corresponding one of the application form images stored in the database according to a project review image lookup table, and stores it in the storage module.

In some implementation aspects, the database further stores a document type and a document number corresponding to each image of the application form.

In some implementation aspects, the project review image lookup table includes a plurality of sequence data. Each of the serial data includes a serial number, an item name, and a receipt number or a policy number.

In some implementation aspects, wherein, in the robotic process automation program, the processing module selects and stores the applications one by one according to the order of the serial numbers of the sequence data in the project review image lookup table Among the book images, the type of the document matches the name of the item and the corresponding document number matches the acceptance number or the policy number.

In some implementation aspects, the image retrieval system further includes an input module. The input module is electrically connected to the processing module. The project review image query table is generated by a user inputting through the input module, or obtained by receiving another computer terminal through the communication module.

In some implementation aspects, the access instruction is generated by the user through the input module.

The function of the present invention is to execute the robotic process automation program through the processing module to obtain the corresponding one of the application images stored in the database according to the pre-set project review image lookup table, and Save to the storage module to achieve fast and accurate retrieval of image files.

Before the present invention is described in detail, it should be noted that in the following description, similar elements are denoted by the same numerals.

Referring to Fig. 1, an embodiment of the novel image retrieval system is applicable to a company, and includes a database 2, a storage module 4, a communication module 3, an input module 5, and a processing module 1. The company is, for example, an insurance company. The database 2 is, for example, a data server for storing multiple application images of the insurance company, and multiple document types and multiple document numbers respectively corresponding to the application images. That is to say, each application image has a single corresponding document type, such as preservation payment application, policy loan, network service agreement, A-type change application, etc., and also has a single corresponding File number, such as AB01---051572, ABA0---796295, Z16---5855, R07---54772 and so on.

The storage module 4 is, for example, a hard disk for storing data. The communication module 3 is, for example, a network card or a wireless network module for providing networking functions. The input module 5 is, for example, a keyboard and a mouse, and is suitable for a user to operate and input data.

The processing module 1 is, for example, a central processing unit (CPU), and is electrically connected to the communication module 3, the storage module 4, and the input module 5, and communicates with the database through the communication module 3 2. Establish a connection and use it to execute a robotic process automation (RPA) program. When the processing module 1 receives a query command, it executes the robotic process automation program. The access instruction is generated by the user through the input module 5. For example, when the user wants to access some of the application form images, he or she can use the keyboard or the mouse Select to execute the recall command.

In the robotic process automation program, the processing module 1 obtains corresponding ones of the application images stored in the database 2 according to a project review image lookup table, and stores them in the storage module 4 . In more detail, the project review image query table is, for example, a form of an Excel file, and is generated by a user inputting through the input module 5, or receiving an input from another user through the communication module 3. obtained from a computer terminal. The item checking image lookup table includes a plurality of serial data, and each serial data includes a serial number, an item name, and an acceptance number or a policy number. The processing module 1, according to the order of the serial numbers of the sequence data in the project review image retrieval table, selects the file of the application image one by one, in which the file category matches the item name and corresponds to the file If the number matches the acceptance number or the policy number, save it and complete the retrieval process.

For example, 65 inspection reports need to be executed every year, and 70 to 100 different application images need to be consulted for each. When using the prior art method, it takes an average of 2 minutes for each image, and about 3.5 hours per copy. Hours, 65 books total 227.5 hours. However, when the new image access system is used instead, it only takes 35 minutes to complete, and a total of 189.5 hours of work time can be saved. In this way, not only can the number of inspection samples be increased, but also the inspectors can spend more time to improve the quality and content of the inspection.

To sum up, the processing module 1 executes the robotic process automation program to obtain the corresponding image of the application forms stored in the database 2 according to the pre-set project review image lookup table, and stored in the storage module 4 to achieve fast and accurate retrieval of image files. Therefore, can really reach the purpose of this novelty.

But the above-mentioned ones are only embodiments of the present invention, and should not limit the scope of implementation of the present invention with this. All simple equivalent changes and modifications made according to the patent scope of the present application and the content of the patent specification are still within the scope of the present invention. Within the scope covered by this patent.

1: Processing module 2: Database 3: Communication module 4: Storage module 5: Input module

Other features and functions of the present invention will be clearly presented in the implementation manner with reference to the drawings, wherein: FIG. 1 is a block diagram illustrating an embodiment of the present novel image retrieval system.

1: Processing module

2: Database

3: Communication module

4: Storage module

5: Input module

Claims (6)

An image retrieval system is applicable to a company, and includes: a database for storing multiple application images of the company; a storage module for storing data; a communication module for providing networking functions; and a processing module, electrically connected to the communication module and the storage module, and establishes a connection with the database through the communication module, and is used to execute a robotic process automation (RPA) program, when the processing When the module receives a query instruction, it executes the robotic process automation program. In the robotic process automation program, the processing module obtains the application-like images stored in the database according to a project review image query table. One of the corresponding ones is stored in the storage module. The image retrieval system as described in Claim 1, wherein the database further stores a document type and a document number corresponding to each image of the application form. The image retrieval system as described in Claim 2, wherein the project review image retrieval table includes a plurality of serial data, and each serial data includes a serial number, an item name, and an acceptance number or an insurance policy number. The image retrieval system as described in claim 3, wherein, in the robotic process automation program, the processing module selects one by one according to the order of the serial numbers of the sequence data in the project review image retrieval table Among the application images, the type of the document matches the item name and the corresponding document number matches the acceptance number or the policy number. The image retrieval system as described in claim 4, further comprising an input module electrically connected to the processing module, and the project review image retrieval table is generated by a user through the input module, or It is obtained by receiving from another computer terminal through the communication module. The image retrieval system as described in claim 5, wherein the retrieval instruction is generated by the user through the input module.

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