Absurd Software Patent of the Week

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This edition of the “Absurd Software Patent of the Week” is presented courtesy of the NASSCOM Patenting Trends in India – Edition 2024 Fostering an IP-led Digital Economy report. One of the “Case examples of patents filed” presented in the report is “System for providing financial process automation to financial organization” by SIGNZY, which is what we will be looking at this week.

In order to read the Patent yourself, please head to the India Patent Advanced Search System (inPASS) portal and search for the “Published” Patent with the “Application Number” “202121003875”. You can also read the “Complete Specification” of the Patent below.

Note that the Patent Application Filing Date was 28/01/2021 in India and 27/01/2022 in the US (see US20220237692A1 - Method and system for providing financial process automation to financial organization - Google Patents)

Also of interest are other patents that Signzy has applied for in India. You can read these by searching for “signzy” in the “Applicant Name” field in inPASS. Like the patent “202021031603” titled “SYSTEM FOR AUTOMATED USER AUTHENTICATION BASED ON VIDEO AND AUDIO FEED IN REAL-TIME”.

SYSTEM FOR PROVIDING FINANCIAL PROCESS AUTOMATION TO FINANCIAL ORGANIZATION
Publication Date 29/07/2022
Application Filing Date 28/01/2021

Abstract:

The present disclosure provides a financial process automation system (112), which performs a method for providing robotic process automation for a financial organization (104). The method focuses on receiving one or more user documents associated with a user. The one or more user documents are identification documents associated with the user. In addition, the method focuses on classifying each of the one or more user documents in a set of documents. The financial process automation system (112) classifies each of the one or more user documents based on type of financial service requested by the financial organization (104). Further, the method focuses on detecting one or more form fields in each of the one or more user documents. Furthermore, the method focuses on performing training of the financial process automation system (112). Moreover, the method focuses on creating custom implementation of the financial process automation system (112). To be published with Fig. 1

Claims:We Claim:

  1. A computer system comprising:
    one or more processors; and
    a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method for providing robotic process automation for a financial organization (104), the method comprising:
  • receiving, at a financial process automation system (112), one or more user documents associated with a user, wherein the one or more user documents are identification documents associated with the user, wherein the one or more user documents are received from one or more sources, wherein the one or more user documents are received in one or more input formats;
  • classifying, at the financial process automation system (112), each of the one or more user documents in a set of documents, wherein the financial process automation system (112) classifies each of the one or more user documents in the set of documents based on a confidence score of each of the one or more user documents, wherein the financial process automation system (112) classifies each of the one or more user documents based on type of financial service requested by the financial organization (104);
  • detecting, at the financial process automation system (108), one or more form fields in each of the one or more user documents, wherein the one or more form fields are detected using one or more hardware-run algorithms, wherein the one or more form fields are detected for extracting information of the user from the one or more user documents;
  • performing, at the financial process automation system (112), training of the financial process automation system (112), wherein the training of the financial process automation system (112) is performed using an artificial intelligence decision engine, wherein the training of the financial process automation system (112) is performed until accuracy of the financial process automation system (112) is above a predefined threshold value; and
  • creating, at the financial process automation system (112), custom implementation of the financial process automation system (112), wherein the custom implementation of the financial process automation system (112) is enabled in real-time, wherein the custom implementation of the financial process automation system (112) is enabled based on type of financial service requested by the financial organization (104).
Full text of the Published Patent minus "Brief description of the Figures" section

Claims:We Claim:

  1. A computer system comprising:
    one or more processors; and
    a memory coupled to the one or more processors, the memory for storing instructions which, when executed by the one or more processors, cause the one or more processors to perform a method for providing robotic process automation for a financial organization (104), the method comprising:
    receiving, at a financial process automation system (112), one or more user documents associated with a user, wherein the one or more user documents are identification documents associated with the user, wherein the one or more user documents are received from one or more sources, wherein the one or more user documents are received in one or more input formats;
    classifying, at the financial process automation system (112), each of the one or more user documents in a set of documents, wherein the financial process automation system (112) classifies each of the one or more user documents in the set of documents based on a confidence score of each of the one or more user documents, wherein the financial process automation system (112) classifies each of the one or more user documents based on type of financial service requested by the financial organization (104);
    detecting, at the financial process automation system (108), one or more form fields in each of the one or more user documents, wherein the one or more form fields are detected using one or more hardware-run algorithms, wherein the one or more form fields are detected for extracting information of the user from the one or more user documents;
    performing, at the financial process automation system (112), training of the financial process automation system (112), wherein the training of the financial process automation system (112) is performed using an artificial intelligence decision engine, wherein the training of the financial process automation system (112) is performed until accuracy of the financial process automation system (112) is above a predefined threshold value; and
    creating, at the financial process automation system (112), custom implementation of the financial process automation system (112), wherein the custom implementation of the financial process automation system (112) is enabled in real-time, wherein the custom implementation of the financial process automation system (112) is enabled based on type of financial service requested by the financial organization (104).

  2. The computer system as recited in claim 1, wherein the one or more user documents comprises at least one of proof of residence of the user, proof of identity of the user, proof of age of the user, photograph of the user, signature of the user, permanent account number of the user, education certificate of the user, character certificate of the user, national identity document of the user, and income certificate of the user.

  3. The computer system as recited in claim 1, wherein each of the set of documents comprises at least one of aadhaar card of the user, pan card of the user, passport of the user, birth certificate of the user, driving license of the user, social security card of the user, society welfare card of the user, income tax card of the user, ration card of the user, domicile card of the user, voter ID card of the user, electricity bill of the user, water consumption bill of the user, gas consumption bill of the user, rent agreement of the user, and telephone bill of the user.

  4. The computer system as recited in claim 1, wherein the one or more input formats comprises at least one of text, image, audio, video, gif, and animation.

  5. The computer system as recited in claim 1, wherein the one or more sources comprises at least one of manual forms filled by the user, web-based forms, mobile application based forms, and data from third-party offline and online sources.

  6. The computer system as recited in claim 1, wherein the financial process automation system (112) provides an interface to a client (102) for interacting with the financial process automation system (112) using a virtual assistant, wherein the virtual assistant provides complete assistance to the client (102) for enabling the custom implementation of the financial process automation system (112).

  7. The computer system as recited in claim 1, wherein the financial process automation system (112) performs facial image extraction from the one or more user documents, wherein the financial process automation system (112) performs the facial image extraction with facilitation of the artificial intelligence decision engine, wherein the financial process automation system (112) performs the facial image extraction using one or more computer vision algorithms.

  8. The computer system as recited in claim 1, further comprising performing signature extraction, at the financial process automation system (112), for extracting signature from the one or more user documents, wherein the financial process automation system (112) performs signature extraction using one or more feature detection algorithms.

  9. The computer system as recited in claim 1, further comprising masking, at the financial process automation system (112), sensitive information extracted from the one or more user documents, wherein the financial process automation system (112) performs the masking using one or more masking algorithms, wherein the financial process automation system (112) performs the masking for securing sensitive information present in the one or more user documents.

  10. The computer system as recited in claim 1, further comprising calculating, at the financial process automation system (112), the confidence score using the artificial intelligence decision engine, wherein the confidence score facilitates in determining the set of documents to be requested from the user based on the type of financial service provided by the financial process automation system (112), wherein the financial process automation system (112) re-calculates the confidence score based on re-training of the financial process automation system (112).
    , Description:SYSTEM FOR PROVIDING FINANCIAL PROCESS AUTOMATION TO FINANCIAL ORGANIZATION

TECHNICAL FIELD
[0001] The present invention relates to the technical field of document processing, and in particular, provides a system for enabling a financial organization to automate processing of user documents.
BACKGROUND
[0002] Over the last few years, there has been a significant rise in number of documents that have to be reviewed, processed, stored and transformed into computer-readable data. For an example, documents include financial statements, collections, legal papers, insurance claims, account forms, confidential data, mortgages, tax forms, and so on. Generally, these documents contain data that has to be extracted in order to be further processed. Data contains information about a user. The user makes an account on a system associated with an organization. The user manually enters information, such as name, address, contact number, date of birth, gender, and so on. In addition, the user may upload images of identification documents, image of the user, signature and so on. Conventionally, information of the user is extracted by an administrator manually from forms. However, manual data extraction is clerical in nature and time consuming. Further, manual data extraction is tedious and expensive.
OBJECT OF THE DISCLOSURE
[0003] A primary object of the present disclosure is to provide financial process automation services to a financial organization.
[0004] Another object of the present disclosure is to reduce turnaround time to onboard customers on platform of the financial organization.
[0005] Yet another object of the present disclosure is to increase sales efficiency of the financial organization.
SUMMARY
[0006] In an aspect, the present disclosure provides a computer system. The computer system includes one or more processors and a memory coupled to the one or more processors. The memory stores instructions. The instructions are executed by the one or more processors. The execution of instruction enables the one or more processors to perform a method for providing robotic process automation for a financial organization. The method includes a first step of receiving one or more user documents associated with a user. The method includes another step of classifying each of the one or more user documents in a set of documents. The method includes yet another step of detecting one or more form fields in each of the one or more user documents. The method includes yet another step of performing training of the financial process automation system. The method includes yet another step of creating custom implementation of the financial process automation system. The one or more user documents are identification documents associated with the user. The one or more user documents are received from one or more sources. The one or more user documents are received in one or more input formats. The financial process automation system classifies each of the one or more user documents in the set of documents based on a confidence score of each of the one or more user documents. The financial process automation system classifies each of the one or more user documents based on type of financial service requested by the financial organization. The one or more form fields are detected using one or more hardware-run algorithms. The one or more form fields are detected for extracting information of the user from the one or more user documents. The training of the financial process automation system is performed using an artificial intelligence decision engine. The training of the financial process automation system is performed until accuracy of the financial process automation system is above a predefined threshold value. The custom implementation of the financial process automation system is created in real-time. The custom implementation of the financial process automation system is created based on type of financial service requested by the financial organization.
STATEMENT OF DISCLOSURE
[0007] The present disclosure provides a computer system. The computer system includes one or more processors and a memory coupled to the one or more processors. The memory stores instructions. The instructions are executed by the one or more processors. The execution of instruction enables the one or more processors to perform a method for providing robotic process automation for a financial organization. The method includes a first step of receiving one or more user documents associated with a user. The method includes another step of classifying each of the one or more user documents in a set of documents. The method includes yet another step of detecting one or more form fields in each of the one or more user documents. The method includes yet another step of performing training of the financial process automation system. The method includes yet another step of creating custom implementation of the financial process automation system. The one or more user documents are identification documents associated with the user. The one or more user documents are received from one or more sources. The one or more user documents are received in one or more input formats. The financial process automation system classifies each of the one or more user documents in the set of documents based on a confidence score of each of the one or more user documents. The financial process automation system classifies each of the one or more user documents based on type of financial service requested by the financial organization. The one or more form fields are detected using one or more hardware-run algorithms. The one or more form fields are detected for extracting information of the user from the one or more user documents. The training of the financial process automation system is performed using an artificial intelligence decision engine. The training of the financial process automation system is performed until accuracy of the financial process automation system is above a predefined threshold value. The custom implementation of the financial process automation system is created in real-time. The custom implementation of the financial process automation system is created based on type of financial service requested by the financial organization.

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