TWI684157B - A Smart Claims System Based on Action Vehicle - Google Patents

A Smart Claims System Based on Action Vehicle Download PDF

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TWI684157B
TWI684157B TW107135949A TW107135949A TWI684157B TW I684157 B TWI684157 B TW I684157B TW 107135949 A TW107135949 A TW 107135949A TW 107135949 A TW107135949 A TW 107135949A TW I684157 B TWI684157 B TW I684157B
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cloud
data
communication unit
module
server
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TW107135949A
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TW202014968A (en
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林修德
劉順鐘
蔡秉翰
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南山人壽保險股份有限公司
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Priority to CN201910202415.XA priority patent/CN111046860B/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/20Image preprocessing
    • G06V10/22Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition
    • G06V10/225Image preprocessing by selection of a specific region containing or referencing a pattern; Locating or processing of specific regions to guide the detection or recognition based on a marking or identifier characterising the area
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q40/00Finance; Insurance; Tax strategies; Processing of corporate or income taxes
    • G06Q40/08Insurance

Abstract

本發明係關於一種基於行動載具之智能理賠系統,其包括行動終端設備、雲端解析伺服器及保險理賠伺服器,其中行動終端設備包括影像擷取模組、印信處理模組、字元辨識模組以及行動通訊模組;而雲端解析伺服器包括雲端通訊單元、雲端儲存單元以及雲端處理單元;以及保險理賠伺服器包括理賠通訊單元、理賠儲存單元及理賠處理單元用以產生關於保單之應理賠結果及應理賠金額。 The invention relates to an intelligent claims system based on a mobile vehicle, which includes a mobile terminal device, a cloud analysis server and an insurance claim server, wherein the mobile terminal device includes an image capture module, a letter processing module, and a character recognition module Group and mobile communication module; the cloud analysis server includes cloud communication unit, cloud storage unit and cloud processing unit; and the insurance claim server includes claim communication unit, claim storage unit and claim processing unit to generate claims payable on the insurance policy The result and the amount to be claimed.

Description

一種基於行動載具之智能理賠系統 A Smart Claims System Based on Action Vehicle

本發明係關於一種自助式智能保險理賠系統,保戶可透過行動裝置自動辨識紙本文件之文字內容,同時鑑識其真偽,並由雲端解析伺服器解析出紙本文件中傷病名稱所對應之國際疾病分類碼,再透過保險理賠伺服器及銀行伺服器的運作將應理賠金額匯入保戶之帳戶,以提高保險理賠之效率,同時降低理賠審核作業中人為判斷的出錯風險。 The invention relates to a self-service intelligent insurance claim settlement system. The insured can automatically recognize the text content of the paper document through the mobile device, and at the same time identify its authenticity, and the cloud analysis server parses out the corresponding name of the injury and illness in the paper document. International disease classification code, and then through the operation of the insurance claim server and bank server to transfer the claim amount to the insured account to improve the efficiency of insurance claims and reduce the risk of human judgment errors in the claim review operation.

以往,保戶若要向保險公司申請理賠時,必須備齊相關紙本文件(例如理賠申請資料及診斷證明書)並送至保險公司,由保險公司以人工方式來鑑識紙本文件的真偽後,並以人工判斷紙本文件中傷病名稱所對應之國際疾病分類碼,再輸入相關資料以完成保險理賠之作業程序,但這些人工作業既耗時又費力,有著效率不彰的問題。 In the past, insurers who wanted to apply for claims from insurance companies must prepare relevant paper documents (such as claim application information and diagnosis certificates) and send them to the insurance company, who would manually verify the authenticity of the paper documents After that, we manually judge the international disease classification code corresponding to the name of the injury in the paper document, and then enter the relevant information to complete the insurance claim operation procedure, but these manual operations are time-consuming and laborious, and have the problem of inefficiency.

此外,保險公司產品類型眾多,各式各樣的理賠條款及大量的理賠案件量,難保前述以傳統人工方式來鑑識、判斷及輸入相關資料等等的理賠作業程序不會發生錯誤,進而造成保戶或保險公司的損失。隨著科技的演進,如何透過新技術來完成保險理賠程序,並兼顧效率及可靠性,乃是目前保險產業所欲積極尋求的目標。 In addition, there are many types of insurance companies' products, various claims clauses and a large number of claims cases, it is difficult to guarantee that the aforementioned claims processing procedures that use traditional manual methods to identify, judge and enter relevant data, etc., will not cause errors, which will result in insurance Loss of households or insurance companies. With the evolution of technology, how to complete the insurance claims process through new technologies, taking into account both efficiency and reliability, is currently the goal the insurance industry is actively seeking.

為了達成上述目標,本發明人乃積極苦思研究,以期可解決上述保險理賠的相關問題,經過不斷的努力及研究,終於研發出本發明。 In order to achieve the above goals, the present inventor is actively studying hard, with a view to solving the related problems of insurance claims, and after continuous efforts and research, the present invention was finally developed.

因此,本發明之目的,即在提供一種基於行動載具之智能理賠系統,此系統包括行動終端設備、雲端解析伺服器及保險理賠伺服器,其中行動終端設備(例如筆記型電腦、智慧型手機、平板電腦或智慧型穿戴裝置)包括影像擷取模組、印信處理模組、字元辨識模組及行動通訊模組,其中影像擷取模組用以擷取理賠申請資料、診斷證明書及收據等紙本文件,並轉成影像檔案;印信處理模組係連接影像擷取 模組,用以針對影像檔案進行背景色預處理,並根據影像檔案鑑識紙本文件之真偽;字元辨識模組係連接該印信處理模組,用以辨識擷取自紙本文件的影像檔案,並產生經辨識之資料,其中可包含文字資料及防偽圖像資料;以及行動通訊模組係連接字元辨識模組,用以傳送經辨識之資料;而雲端解析伺服器係連接行動終端設備,用於處理經辨識之資料,其中雲端解析伺服器包括雲端通訊單元、雲端儲存單元及雲端處理單元,其中雲端通訊單元用於接收該經辨識之資料;而雲端儲存單元係連接雲端通訊單元,並預先儲存國際疾病分類碼(International Classification of Disease,ICD);以及雲端處理單元分別連接雲端通訊單元及雲端儲存單元,用以解析紙本文件中之至少一傷病名稱及對應之國際疾病分類碼;而保險理賠伺服器係連接雲端解析伺服器,用於處理保戶對於保單之理賠需求,其中保險理賠伺服器包括理賠通訊單元、理賠儲存單元及理賠處理單元,其中理賠通訊單元係用於接收及傳送與保單之理賠需求相關之資料;而理賠儲存單元係連接理賠通訊單元,用於儲存與保單之理賠需求相關之資料;而理賠處理單元係分別連接理賠通訊單元及理賠儲存單元,用以產生關於保單之應理賠結果及應理賠金額,並由理賠通訊單元傳送應理賠金額至銀行伺服器,再將應理賠金額匯入至保戶之帳戶,並向保險理賠伺服器回傳理賠結果,並由理賠儲存單元儲存理賠結果,理賠通訊單元傳送理賠結果至行動終端設備。 Therefore, the object of the present invention is to provide an intelligent claims system based on mobile vehicles. The system includes a mobile terminal device, a cloud analysis server and an insurance claim server. The mobile terminal device (such as a notebook computer or a smart phone) , Tablet or smart wearable device) includes an image capture module, a letter processing module, a character recognition module and a mobile communication module, where the image capture module is used to capture claim application data, diagnostic certificates and Receipts and other paper documents, and converted into image files; the letter processing module is connected to image capture The module is used to preprocess the background color of the image file and identify the authenticity of the paper document according to the image file; the character recognition module is connected to the letter processing module to identify the image captured from the paper document Files and generate recognized data, which can include text data and anti-counterfeit image data; and the mobile communication module is connected to the character recognition module to transmit the recognized data; and the cloud analysis server is connected to the mobile terminal Equipment for processing the identified data, wherein the cloud analysis server includes a cloud communication unit, a cloud storage unit, and a cloud processing unit, wherein the cloud communication unit is used to receive the identified data; and the cloud storage unit is connected to the cloud communication unit And pre-store the International Classification of Disease (ICD); and the cloud processing unit is connected to the cloud communication unit and the cloud storage unit, respectively, for parsing at least one injury and illness name in the paper document and the corresponding international disease classification code ; The insurance claim server is connected to the cloud analysis server to process the insurer’s claims demand for the policy. The insurance claim server includes a claim communication unit, a claim storage unit and a claim processing unit, in which the claim communication unit is used to receive And transmit data related to the claims demand of the policy; the claims storage unit is connected to the claims communication unit for storing data related to the claims demand of the policy; and the claims processing unit is connected to the claims communication unit and claims storage unit respectively for Generate the claimable claims result and claimable amount of the policy, and send the claimable amount to the bank server by the claim communication unit, then transfer the claimable amount to the account of the insurer, and return the claim result to the insurance claim server, The claim storage unit stores the claim result, and the claim communication unit transmits the claim result to the mobile terminal device.

依據本發明之另一實施例,紙本文件可為理賠申請資料、診斷證明書及收據之一或多者。 According to another embodiment of the present invention, the paper document may be one or more of claim application information, diagnosis certificate and receipt.

依據本發明之另一實施例,雲端通訊單元進一步用以傳送雲端儲存單元所儲存之資料。 According to another embodiment of the present invention, the cloud communication unit is further used to transmit data stored in the cloud storage unit.

依據本發明之另一實施例,字元辨識模組為光學字元辨識模組。 According to another embodiment of the present invention, the character recognition module is an optical character recognition module.

依據本發明之另一實施例,經辨識之資料包含文字資料及防偽圖像資料(印信圖像資料),其中文字資料可包含申請人姓名、日期、診斷之病理說明及名稱、保單各項資料等。醫療院所常會將關防章及/或醫師章等蓋在診斷證明書的文字資料上,造成上述部分文字資料被印信所遮蔽,此現象並不利於診斷證明書的字元辨識。為解決此一問題, 印信處理模組可對於影像檔案在進入字元辨識模組之前,先進行背景色預處理,尤其是當文字資料被印信所遮蔽而難以直接辨識時,針對影像檔案先進行背景預處理。由於一般印信所使用之墨水或印泥大多為單一顏色(例如藍色或紅色),本發明可選擇接近影像檔案中印信的原色(如藍色、紅色、綠色之一者),套入影像檔案的背景色,以淡化文字資料被印信遮蔽之影響,用以增進字元識別模組對於影像檔案之文字資料的辨識範圍。 According to another embodiment of the present invention, the identified data includes text data and anti-counterfeiting image data (print letter image data), where the text data may include the applicant's name, date, pathological description and name of the diagnosis, and various data of the policy Wait. Medical institutions often cover the text of the diagnosis certificate with the seal of the guard and/or the doctor’s seal, etc., causing some of the above-mentioned text information to be obscured by the printed letter. This phenomenon is not conducive to the character recognition of the diagnosis certificate. To solve this problem, The letter processing module can preprocess the background color of the image file before entering the character recognition module, especially when the text data is obscured by the letter and it is difficult to directly recognize the image file. Since most of the inks or inks used in general letter printing are of a single color (such as blue or red), the present invention can choose to be close to the original color of the letter in the image file (such as one of blue, red, and green). The background color is used to reduce the influence of the text data being obscured by the printed letter, and is used to improve the recognition range of the character recognition module for the text data of the image file.

此外,為避免有心人士利用掃瞄或複印其它蓋有真正關防章及/或醫師章之文件,將其關防章及/或醫師章之影像檔案擷取出來,並透過修圖或列印等方式添加或黏貼至欲偽造之診斷證明書上。本發明之另一實施例,係利用印信處理模組中的邊緣檢測演算法來定義印信圖像資料之檢測邊緣,做為判定診斷證明書之真偽的基礎。若是利用掃瞄或複印所擷取之印信圖像資料,其印信圖像容易會有去背不全、邊緣仍帶有殘色或鋸齒紋狀等問題。本發明之印信處理模組可使用Sobel算子、Roberts Cross算子、Prewitt算子、Canny算子、羅盤算子、Marr-Hildreth算子、Laplacian算子及小波轉換等邊緣檢測演算法來進行邊緣檢測,先定義出印信圖像的檢測邊緣,再於印信圖像之檢測邊緣外設定鑑識邊界,並於檢測邊緣及鑑識邊界之間的區域計算色碼數值的變異程度,並判斷其是否高於一閥限值,用以鑑識具有印信圖像資料之影像檔案之真偽。如果高於前述閥限值,代表印信圖像資料極可能是利用掃描擷取而得,因此可判定屬偽造者,反之則判定非屬偽造者。 In addition, in order to prevent interested persons from scanning or copying other documents with genuine security seals and/or physician seals, the image files of the security seals and/or physician seals are extracted and retouched or printed. Add or paste on the diagnosis certificate to be forged. Another embodiment of the present invention uses the edge detection algorithm in the letter processing module to define the detection edge of the letter image data as the basis for determining the authenticity of the diagnosis certificate. If the letter image data captured by scanning or copying is used, the letter image is likely to have problems of incomplete removal, residual color or jagged edges on the edges. The letter processing module of the present invention can use the edge detection algorithms such as Sobel operator, Roberts Cross operator, Prewitt operator, Canny operator, compass operator, Marr-Hildreth operator, Laplacian operator and wavelet transform to perform edge detection Detection, first define the detection edge of the letter image, and then set the identification boundary outside the detection edge of the letter image, and calculate the degree of variation of the color code value in the area between the detection edge and the identification boundary, and judge whether it is higher than A threshold value, used to identify the authenticity of image files with printed image data. If it is higher than the aforementioned threshold value, it means that the image data of the seal letter is most likely obtained by scanning, so it can be judged as a forger, otherwise it is judged as not a forger.

依據本發明之另一實施例,雲端解析伺服器之雲端處理單元更包含人工智慧子單元,其可通過機器學習模型及雲端儲存單元內的大量訓練數據,從而提升解析傷病名稱所對應之國際疾病分類碼的準確性。 According to another embodiment of the present invention, the cloud processing unit of the cloud resolution server further includes an artificial intelligence sub-unit, which can improve the resolution of international diseases corresponding to the name of the injury through machine learning models and a large amount of training data in the cloud storage unit Classification code accuracy.

依據本發明之另一實施例,該系統在使用者利用行動終端設備提出保單之理賠需求時,該系統進行下述步驟:步驟S101,使用者於行動終端設備之應用程式中啟動理賠申請程序;步驟S102,行動終端設備透過影像擷取模組擷取包含印信圖像資料之診斷證明書,並轉成影像檔案;步驟S103,印信處理模組先針對影像檔案進行背景色預處理,再使用邊緣檢測鑑識印信圖像資料,並產生防偽鑑識結果;步驟S104, 若防偽鑑識結果為真,則由字元辨識模組辨識影像檔案,並產生文字資料及印信圖像資料;步驟S105,行動通訊模組傳送文字資料及印信圖像資料至雲端解析伺服器之雲端通訊單元;步驟S106,雲端通訊單元接收文字資料及印信圖像資料,並儲存至雲端儲存單元;步驟S107,雲端處理單元解析文字資料中之至少一傷病名稱,由雲端儲存單元預先儲存之國際疾病分類碼中尋找所對應之國際疾病分類碼,再儲存至雲端儲存單元,並由雲端通訊單元傳送至保險理賠伺服器之理賠通訊單元;步驟S108,保險理賠伺服器之理賠處理單元根據保單及至少一傷病名稱所對應之國際疾病分類碼,產生應理賠結果及應理賠金額,並由理賠通訊單元傳送應理賠金額至銀行伺服器;步驟S109,銀行伺服器將應理賠金額匯入至保戶之帳戶,並向保險理賠伺服器回傳理賠結果,由理賠儲存單元儲存理賠結果;步驟S110,理賠通訊單元傳送理賠結果至行動終端設備之該行動通訊模組,使行動終端設備之應用程式結束理賠申請程序。 According to another embodiment of the present invention, the system performs the following steps when a user uses a mobile terminal device to submit a claim for a policy claim: In step S101, the user initiates a claim application process in the application program of the mobile terminal device; Step S102, the mobile terminal device captures the diagnosis certificate containing the letter image data through the image capture module, and converts it into an image file; step S103, the letter processing module first performs background color preprocessing on the image file, and then uses the edge Detect the identification seal image data, and generate anti-counterfeiting identification results; Step S104, If the anti-counterfeiting identification result is true, the character recognition module recognizes the image file and generates text data and letter image data; Step S105, the mobile communication module sends the text data and letter image data to the cloud of the cloud analysis server Communication unit; Step S106, the cloud communication unit receives text data and letter image data, and stores it in the cloud storage unit; Step S107, the cloud processing unit parses at least one injury name in the text data, and the international disease pre-stored by the cloud storage unit Find the corresponding international disease classification code in the classification code, and then store it in the cloud storage unit, and send it from the cloud communication unit to the claims communication unit of the insurance claims server; Step S108, the claims processing unit of the insurance claims server according to the policy and at least 1. The international disease classification code corresponding to the name of the injury and illness generates the claimable result and the claimable amount, and the claimable communication unit transmits the claimable amount to the bank server; in step S109, the bank server transfers the claimable amount to the insured Account and return the claim result to the insurance claim server, and the claim storage unit stores the claim result; step S110, the claim communication unit transmits the claim result to the mobile communication module of the mobile terminal device, so that the application of the mobile terminal device ends the claim Application Procedures.

10‧‧‧基於行動載具之智能理賠系統 10‧‧‧Intelligent claims system based on mobile vehicle

11‧‧‧行動終端設備 11‧‧‧Mobile terminal equipment

12‧‧‧雲端解析伺服器 12‧‧‧ Cloud analysis server

13‧‧‧保險理賠伺服器 13‧‧‧ Insurance Claim Server

14‧‧‧銀行伺服器 14‧‧‧Bank server

111‧‧‧影像擷取模組 111‧‧‧Image capture module

112‧‧‧印信處理模組 112‧‧‧ letter processing module

113‧‧‧字元辨識模組 113‧‧‧ character recognition module

114‧‧‧行動通訊模組 114‧‧‧Mobile communication module

121‧‧‧雲端通訊單元 121‧‧‧ cloud communication unit

122‧‧‧雲端儲存單元 122‧‧‧ cloud storage unit

123‧‧‧雲端處理單元 123‧‧‧ cloud processing unit

131‧‧‧理賠通訊單元 131‧‧‧ claims communication unit

132‧‧‧理賠儲存單元 132‧‧‧ claims storage unit

133‧‧‧理賠處理單元 133‧‧‧ claims processing unit

1231‧‧‧人工智慧子單元 1231‧‧‧Artificial Intelligence Subunit

21‧‧‧影像檔案 21‧‧‧Image file

22‧‧‧印信圖像資料 22‧‧‧ letter image data

31‧‧‧印信圖像資料 31‧‧‧ letter image data

311‧‧‧檢測邊緣 311‧‧‧ Detect edge

32‧‧‧鑑識邊界 32‧‧‧Forensic boundary

S101-S110‧‧‧步驟 S101-S110‧‧‧Step

圖1係顯示本發明之基於行動載具之智能理賠系統的概略結構方塊圖。 FIG. 1 is a block diagram showing a schematic structure of an intelligent claims system based on a mobile vehicle of the present invention.

圖2(A)係顯示本發明之影像檔案進行背景色預處理前之示意圖。 FIG. 2(A) is a schematic diagram showing the image file of the present invention before background color preprocessing.

圖2(B)係顯示本發明之影像檔案進行背景色預處理後之示意圖。 FIG. 2(B) is a schematic diagram showing the image file of the present invention after background color preprocessing.

圖3係顯示本發明對於印信圖像資料鑑識其真偽之示意圖。 FIG. 3 is a schematic diagram showing the authenticity of the printed letter image data of the present invention.

圖4係顯示本發明之智能理賠程序的實施範例流程圖。 FIG. 4 is a flowchart showing an example of implementation of the smart claims process of the present invention.

參看所附之圖式,就本發明之具體形態來加以說明。 The specific form of the present invention will be described with reference to the attached drawings.

如圖1所示,本發明係一種基於行動載具之智能理賠系統,其應用於保險公司理賠,本實施例之智能理賠系統10包括:具有裝載一應用程式之一行動終端設備11(例如筆記型電腦、智慧型手機、平板電腦或智慧型手錶),其包括:一影像擷取模組111,其用以擷取紙本文件以轉成影像檔案,該影像擷取模組111可以是該行動終端設備11上的相機;一印信處理模組112,其連接該影像擷取模組111,用以針對該影像檔案進行背景色預處理,並根據該影像檔案鑑識該紙本文件之真 偽;一字元辨識模組113,其連接該印信處理模組112,用以辨識該影像檔案,例如由光學字元辨識(Optical Character Recognition,OCR)技術來辨識該影像檔案中的文字,以產生一經辨識之資料;以及一行動通訊模組114,其連接該字元辨識模組113,用以傳送該經辨識之資料,其可採用GSM、3G、4G、Wi-Fi等通訊介面,惟類別不在此限;一雲端解析伺服器12,其連接該行動終端設備11,該雲端解析伺服器12用於處理該經辨識之資料,其包括:一雲端通訊單元121,其可採用GSM、3G、4G、Wi-Fi、Ethernet等通訊介面(不以此為限),用於接收該經辨識之資料,其中該雲端解析伺服器12係藉由該雲端通訊單元121連接該行動終端設備11之該行動通訊模組114;一雲端儲存單元122,其連接該雲端通訊單元121,並預先儲存國際疾病分類碼,而該雲端通訊單元121用以傳送該雲端儲存單元122所儲存之資料;以及一雲端處理單元123,其分別連接該雲端通訊單元121及該雲端儲存單元122,用以解析該紙本文件中之至少一傷病名稱及對應之國際疾病分類碼;及一保險理賠伺服器13,其連接該雲端解析伺服器12,用於處理一保戶對於一保單之理賠需求,其包括:一理賠通訊單元131,其可採用GSM、3G、4G、Wi-Fi、Ethernet等通訊介面(不以此為限),用於接收及傳送與該保單之理賠需求相關之資料,其中該保險理賠伺服器13係藉由該理賠通訊單元131連接該雲端解析伺服器12之該雲端通訊單元121;一理賠儲存單元132,其連接該理賠通訊單元131,用於儲存與該保單之理賠需求相關之資料;及一理賠處理單元133,其分別連接該理賠通訊單元131及該理賠儲存單元132,用以產生關於該保單之一應理賠結果及一應理賠金額,並由該理賠通訊單元131傳送該應理賠金額至一銀行伺服器14,再由該銀行伺服器14將該應理賠金額匯入至保戶之帳戶,並向該保險理賠伺服器13回傳一理賠結果,由該理賠儲存單元132儲存理賠結果,並由該理賠通訊單元131傳送該理賠結果至該行動終端設備11。 As shown in FIG. 1, the present invention is an intelligent claims system based on mobile vehicles, which is applied to insurance companies to settle claims. The intelligent claims system 10 of this embodiment includes: a mobile terminal device 11 (such as a note) with an application program loaded on it Computer, smart phone, tablet computer or smart watch), which includes: an image capture module 111, which is used to capture a paper document to be converted into an image file, the image capture module 111 may be the A camera on the mobile terminal device 11; a letter processing module 112 connected to the image capture module 111 for preprocessing the background color of the image file and identifying the authenticity of the paper document based on the image file Pseudo; a character recognition module 113, which is connected to the letter processing module 112, for recognizing the image file, for example, optical character recognition (Optical Character Recognition, OCR) technology to recognize the text in the image file, Generate a recognized data; and a mobile communication module 114, which is connected to the character recognition module 113 for transmitting the recognized data, which can use GSM, 3G, 4G, Wi-Fi and other communication interfaces, but The category is not limited to this; a cloud analysis server 12, which is connected to the mobile terminal device 11, the cloud analysis server 12 is used to process the identified data, including: a cloud communication unit 121, which can use GSM, 3G , 4G, Wi-Fi, Ethernet and other communication interfaces (not limited to this) are used to receive the identified data, wherein the cloud analysis server 12 is connected to the mobile terminal device 11 through the cloud communication unit 121 The mobile communication module 114; a cloud storage unit 122, which is connected to the cloud communication unit 121, and pre-stores the international disease classification code, and the cloud communication unit 121 is used to transmit the data stored in the cloud storage unit 122; and a A cloud processing unit 123, which is connected to the cloud communication unit 121 and the cloud storage unit 122, respectively, for parsing at least one injury and illness name and the corresponding international disease classification code in the paper document; and an insurance claim server 13, which Connected to the cloud parsing server 12, it is used to process a policyholder's claims for a policy, including: a claims communication unit 131, which can use GSM, 3G, 4G, Wi-Fi, Ethernet and other communication interfaces (not (This is limited), used to receive and transmit data related to the claims demand of the policy, wherein the insurance claim server 13 is connected to the cloud communication unit 121 of the cloud analysis server 12 via the claim communication unit 131; a A claims storage unit 132 connected to the claims communication unit 131 for storing data related to the claims demand of the policy; and a claims processing unit 133 connected to the claims communication unit 131 and the claims storage unit 132 respectively for Generate a claimable result and a claimable amount regarding the policy, and the claim communication unit 131 transmits the claimable amount to a bank server 14, and the bank server 14 transfers the claimable amount to the policy The account of the user, and returns a claim result to the insurance claim server 13, the claim storage unit 132 stores the claim result, and the claim communication unit 131 transmits the claim result to the mobile terminal device 11.

另外,該紙本文件可為理賠申請資料、診斷證明書及收據之一或多者。 In addition, the paper document may be one or more of the claim application information, diagnosis certificate and receipt.

另外,該字元辨識模組113為一光學字元辨識模組,其中該經辨識 之資料包含一文字資料及一防偽圖像資料,該行動終端設備11可利用該光學字元辨識模組辨識該文字資料,其中該文字資料可包含申請人姓名、日期、診斷之病理說明及名稱、保單各項資料等。 In addition, the character recognition module 113 is an optical character recognition module, wherein the recognized The data includes a text data and an anti-counterfeit image data, the mobile terminal device 11 can use the optical character recognition module to identify the text data, wherein the text data can include the applicant's name, date, pathological description and name of diagnosis, Information about the policy, etc.

如圖2(A)所示,根據該影像檔案21所產生之該防偽圖像資料為一印信圖像資料22。由於該字元辨識模組113產生該經辨識之資料時,該影像檔案21中的文字可能會被該印信圖像資料22所遮蔽,而不利於該字元識別模組113之運作。為解決此一問題,印信處理模組112可在該影像檔案20進入該字元辨識模組113之前,先進行背景色預處理。如圖2(B)所示,背景色預處理係選擇接近該影像檔案21中該印信圖像資料22的原色(如圖2(B)中的紅色),套入該影像檔案21的背景色,以淡化該影像檔案21中的文字被該印信圖像資料22遮蔽之影響。 As shown in FIG. 2(A), the anti-counterfeit image data generated according to the image file 21 is a letter image data 22. Since the character recognition module 113 generates the recognized data, the text in the image file 21 may be obscured by the printed image data 22, which is not conducive to the operation of the character recognition module 113. To solve this problem, the letter processing module 112 may perform background color pre-processing before the image file 20 enters the character recognition module 113. As shown in FIG. 2(B), the background color pre-processing selects the primary color close to the letter image data 22 in the image file 21 (as shown in red in FIG. 2(B)), and sets the background color of the image file 21 , To dilute the effect of the text in the image file 21 being obscured by the seal image data 22.

該印信處理模組112係除了對該影像檔案21進行背景色預處理,還透過邊緣檢測以鑑識該印信圖像資料22,其中該印信處理模組112可使用Sobel算子、Roberts Cross算子、Prewitt算子、Canny算子、羅盤算子、Marr-Hildreth算子、Laplacian算子及小波轉換等邊緣檢測演算法來進行邊緣檢測,用以鑑識具有該印信圖像資料22之該影像檔案21之真偽。如圖3所示,前述邊緣檢測演算法係用以定義出該印信圖像資料31的一檢測邊緣311,再於該檢測邊緣311外設定一鑑識邊界32,並於該檢測邊緣311至該鑑識邊界32之間計算色碼數值的變異程度,並判斷其是否高於一閥限值。如果高於該閥限值,代表該檢測邊緣311仍帶有殘色或鋸齒狀紋等問題,有極高的可能是利用掃描擷取而得,因此可判定該印信圖像資料31屬偽造者,反之則判定非屬偽造者。 The letter processing module 112 not only performs background color preprocessing on the image file 21, but also recognizes the letter image data 22 through edge detection, wherein the letter processing module 112 can use the Sobel operator, Roberts Cross operator, Edge detection algorithms such as Prewitt operator, Canny operator, Compass operator, Marr-Hildreth operator, Laplacian operator and wavelet transform are used for edge detection to identify the image file 21 with the seal image data 22 Authenticity. As shown in FIG. 3, the aforementioned edge detection algorithm is used to define a detection edge 311 of the printed image data 31, and then set an identification boundary 32 outside the detection edge 311, and from the detection edge 311 to the identification The degree of variation of the color code value is calculated between the boundaries 32, and it is judged whether it is higher than a threshold value. If it is higher than the threshold value, it means that the detection edge 311 still has residual color or jagged patterns and other problems. There is a very high possibility that it is obtained by scanning, so it can be determined that the printed image data 31 is a counterfeiter , Otherwise it is determined that it is not a forger.

另外,該雲端解析伺服器12之該雲端處理單元123更包含一人工智慧子單元1231,其可由機器學習解析該至少一傷病名稱所對應之國際疾病分類碼,以提升解析之準確性。 In addition, the cloud processing unit 123 of the cloud parsing server 12 further includes an artificial intelligence sub-unit 1231 which can be machine-learned to parse the international disease classification code corresponding to the at least one injury name to improve the accuracy of the analysis.

參看圖4所示,以下便針對本發明之使用方式的實施範例流程來加以說明。 Referring to FIG. 4, the following describes an example flow of implementation of the usage mode of the present invention.

如圖4所示,該系統10在一使用者利用該行動終端設備11提出保單之理賠需求時,該智能理賠系統10進行下述步驟:步驟S101,該使用者於該行動終端設備11之一應用程式中啟動一理賠申請程序;步驟 S102,該行動終端設備11透過該影像擷取模組111擷取包含該印信圖像資料之該診斷證明書,並轉成該影像檔案;步驟S103,該印信處理模組112先針對該影像檔案進行背景色預處理,再使用邊緣檢測鑑識該印信圖像資料,並產生一防偽鑑識結果;步驟S104,若該防偽鑑識結果為真,則由該字元辨識模組113辨識該影像檔案,並產生該文字資料及該印信圖像資料;步驟S105,該行動通訊模組114傳送該文字資料及該印信圖像資料至該雲端解析伺服器12之該雲端通訊單元121;步驟S106,該雲端通訊單元121接收該文字資料及該印信圖像資料,並儲存至該雲端儲存單元122;步驟S107,該雲端處理單元123解析該文字資料中之該至少一傷病名稱,由該雲端儲存單元122預先儲存之國際疾病分類碼中尋找所對應之國際疾病分類碼,再儲存至該雲端儲存單元123,並由該雲端通訊單元121傳送至該保險理賠伺服器13之該理賠通訊單元131;步驟S108,該保險理賠伺服器13之該理賠處理單元133根據該保單及該至少一傷病名稱所對應之國際疾病分類碼,產生一應理賠結果及一應理賠金額,並由該理賠通訊單元131傳送該應理賠金額至一銀行伺服器14;步驟S109,該銀行伺服器14將該應理賠金額匯入至該保戶之帳戶,並向該保險理賠伺服器13回傳一理賠結果(若該保戶之帳戶正確,則為匯款成功之訊息;反之,則為匯款失敗之訊息),由該理賠儲存單元132儲存該理賠結果;步驟S110,該理賠通訊單元131傳送該理賠結果至該行動終端設備11之該行動通訊模組114,使該行動終端設備11之該應用程式結束該理賠申請程序。 As shown in FIG. 4, when the user of the system 10 uses the mobile terminal device 11 to submit a claim for insurance policy, the intelligent claim system 10 performs the following steps: Step S101, the user selects one of the mobile terminal devices 11 Start a claims application process in the application; steps S102, the mobile terminal device 11 retrieves the diagnosis certificate containing the seal letter image data through the image capture module 111, and converts it to the image file; step S103, the seal letter processing module 112 first targets the image file Perform background color preprocessing, and then use edge detection to identify the printed image data and generate an anti-counterfeiting identification result; step S104, if the anti-counterfeiting identification result is true, the character recognition module 113 recognizes the image file, and Generate the text data and the printed image data; Step S105, the mobile communication module 114 transmits the text data and the printed image data to the cloud communication unit 121 of the cloud parsing server 12; Step S106, the cloud communication The unit 121 receives the text data and the printed image data, and stores them in the cloud storage unit 122; Step S107, the cloud processing unit 123 parses the at least one injury name in the text data, and the cloud storage unit 122 pre-stores The corresponding international disease classification code is found in the international disease classification code, and then stored in the cloud storage unit 123, and transmitted from the cloud communication unit 121 to the claim communication unit 131 of the insurance claim server 13; step S108, the The claim processing unit 133 of the insurance claim server 13 generates a claimable result and a claimable amount according to the insurance policy and the international disease classification code corresponding to the at least one injury and illness name, and the claim communication unit 131 transmits the claimable claim Amount to a bank server 14; Step S109, the bank server 14 transfers the claim amount to the account of the insured, and returns a claim result to the insurance claim server 13 (if the account of the insured If it is correct, it is a message of remittance success; otherwise, it is a message of remittance failure), the claim storage unit 132 stores the claim result; step S110, the claim communication unit 131 transmits the claim result to the mobile terminal device 11 The mobile communication module 114 causes the application program of the mobile terminal device 11 to end the claim application process.

以上所述僅為本發明的較佳具體實施例,其並不用以限制本發明,凡在本發明的精神和原則之內,所作的任何修改、等同拆換、改進等,均應包含在本發明的保護範圍之內。 The above are only preferred specific embodiments of the present invention, which are not intended to limit the present invention. Any modification, equivalent disassembly, improvement, etc. made within the spirit and principle of the present invention should be included in this Within the scope of protection of the invention.

10‧‧‧基於行動載具之智能理賠系統 10‧‧‧Intelligent claims system based on mobile vehicle

11‧‧‧行動終端設備 11‧‧‧Mobile terminal equipment

12‧‧‧雲端解析伺服器 12‧‧‧ Cloud analysis server

13‧‧‧保險理賠伺服器 13‧‧‧ Insurance Claim Server

14‧‧‧銀行伺服器 14‧‧‧Bank server

111‧‧‧影像擷取模組 111‧‧‧Image capture module

112‧‧‧印信處理模組 112‧‧‧ letter processing module

113‧‧‧字元辨識模組 113‧‧‧ character recognition module

114‧‧‧行動通訊模組 114‧‧‧Mobile communication module

121‧‧‧雲端通訊單元 121‧‧‧ cloud communication unit

122‧‧‧雲端儲存單元 122‧‧‧ cloud storage unit

123‧‧‧雲端處理單元 123‧‧‧ cloud processing unit

131‧‧‧理賠通訊單元 131‧‧‧ claims communication unit

132‧‧‧理賠儲存單元 132‧‧‧ claims storage unit

133‧‧‧理賠處理單元 133‧‧‧ claims processing unit

1231‧‧‧人工智慧子單元 1231‧‧‧Artificial Intelligence Subunit

Claims (6)

一種基於行動載具之智能理賠系統,其包括:一行動終端設備,其包括:一影像擷取模組,其用以擷取一紙本文件以轉成一影像檔案;一印信處理模組,其連接影像擷取模組,用以針對該影像檔案進行背景色預處理,並根據該影像檔案鑑識該紙本文件之真偽;一字元辨識模組,其連接該印信處理模組,用以辨識該影像檔案,並產生一經辨識之資料,其中該經辨識之資料包含一文字資料及一印信圖像資料,且該印信處理模組使用邊緣檢測定義該印信圖像資料之一檢測邊緣,再於該檢測邊緣外設定一鑑識邊界,並於該檢測邊緣及該鑑識邊界之間的一區域計算該印信圖像資料之一色碼數值變異量;以及一行動通訊模組,其連接該字元辨識模組,用以傳送該經辨識之資料;一雲端解析伺服器,其連接該行動終端設備,用於處理該經辨識之資料,其包括:一雲端通訊單元,其用於接收該經辨識之資料;一雲端儲存單元,其連接該雲端通訊單元,並預先儲存國際疾病分類碼;以及一雲端處理單元,其分別連接該雲端通訊單元及該雲端儲存單元,用以解析該紙本文件中之至少一傷病名稱及對應之國際疾病分類碼;及一保險理賠伺服器,其連接該雲端解析伺服器,用於處理一保戶對於一保單之理賠需求,其包括:一理賠通訊單元,其用於接收及傳送與該保單之理賠需求相關之資料;一理賠儲存單元,其連接該理賠通訊單元,用於儲存與該保單之理賠需求相關之資料;及 一理賠處理單元,其分別連接該理賠通訊單元及該理賠儲存單元,用以產生關於該保單之一應理賠結果及一應理賠金額。 An intelligent claims system based on mobile vehicles, including: a mobile terminal device, which includes: an image capture module, which is used to capture a paper document to be converted into an image file; a letter processing module, It is connected to an image capture module for preprocessing the background color of the image file and identifying the authenticity of the paper document based on the image file; a character recognition module, which is connected to the letter processing module, is used to To recognize the image file and generate a recognized data, wherein the recognized data includes a text data and a letter image data, and the letter processing module uses edge detection to define one of the letter image data to detect the edge, and An identification boundary is set outside the detection edge, and a color code value variation of the printed image data is calculated in an area between the detection edge and the identification boundary; and a mobile communication module connected to the character identification A module for transmitting the identified data; a cloud analysis server connected to the mobile terminal device for processing the identified data, which includes: a cloud communication unit for receiving the identified data Data; a cloud storage unit, which is connected to the cloud communication unit and pre-stores the international disease classification code; and a cloud processing unit, which is connected to the cloud communication unit and the cloud storage unit, respectively, to analyze the paper document At least one injury and illness name and corresponding international disease classification code; and an insurance claims server, which is connected to the cloud analysis server and is used to process a policyholder's claims for a policy, including: a claims communication unit, which uses To receive and transmit data related to the claim demand of the policy; a claim storage unit connected to the claim communication unit for storing data related to the claim demand of the policy; and A claim processing unit, which is connected to the claim communication unit and the claim storage unit, respectively, to generate a claimable result and a claimable amount of the insurance policy. 如申請專利範圍第1項之系統,其中該紙本文件可為一理賠申請資料、一診斷證明書或一收據。 For example, in the system of claim 1, the paper document may be a claim application, a diagnosis certificate or a receipt. 如申請專利範圍第1項之系統,其中該雲端通訊單元更進一步用以傳送該雲端儲存單元所儲存之資料。 For example, in the system of claim 1, the cloud communication unit is further used to transmit the data stored in the cloud storage unit. 如申請專利範圍第2或3項之系統,其中該字元辨識模組為一光學字元辨識模組。 For example, the system of claim 2 or 3, wherein the character recognition module is an optical character recognition module. 如申請專利範圍第4項之系統,其中該雲端解析伺服器之該雲端處理單元更包含一人工智慧子單元,其可由機器學習解析該至少一傷病名稱所對應之國際疾病分類碼。 For example, in the system of claim 4, the cloud processing unit of the cloud parsing server further includes an artificial intelligence sub-unit, which can learn and parse the international disease classification code corresponding to the at least one injury name by machine learning. 如申請專利範圍第5項之系統,其中一使用者利用該行動終端設備提出該保單之理賠需求時,該系統進行下述步驟:步驟S101,該使用者於該行動終端設備之一應用程式中啟動一理賠申請程序;步驟S102,該行動終端設備透過該影像擷取模組擷取包含該印信圖像資料之該診斷證明書,並轉成該影像檔案;步驟S103,該印信處理模組先針對該影像檔案進行背景色預處理,再使用邊緣檢測定義該印信圖像資料之該檢測邊緣,計算該印信圖像資料之該色碼數值變異量,並判斷其是否高於一閥限值,以產生一防偽鑑識結果;步驟S104,若該色碼數值變異量低於該閥限值,則該防偽鑑識結果為真,則由該字元辨識模組辨識該影像檔案,並產生該文字資 料及該印信圖像資料;步驟S105,該行動通訊模組傳送該文字資料及該印信圖像資料至該雲端解析伺服器之該雲端通訊單元;步驟S106,該雲端通訊單元接收該文字資料及該印信圖像資料,並儲存至該雲端儲存單元;步驟S107,該雲端處理單元解析該文字資料中之該至少一傷病名稱,由該雲端儲存單元預先儲存之國際疾病分類碼中尋找所對應之國際疾病分類碼,再儲存至該雲端儲存單元,並由該雲端通訊單元傳送至該保險理賠伺服器之該理賠通訊單元;步驟S108,該保險理賠伺服器之該理賠處理單元根據該保單及該至少一傷病名稱所對應之國際疾病分類碼,產生一應理賠結果及一應理賠金額,並由該理賠通訊單元傳送該應理賠金額至一銀行伺服器;步驟S109,該銀行伺服器將該應理賠金額匯入至該保戶之帳戶,並向該保險理賠伺服器回傳一理賠結果,由該理賠儲存單元儲存該理賠結果;步驟S110,該理賠通訊單元傳送該理賠結果至該行動終端設備之該行動通訊模組,使該行動終端設備之該應用程式結束該理賠申請程序。 For example, in the system of claim 5, if a user uses the mobile terminal device to make claims for the policy, the system performs the following steps: Step S101, the user is in an application of the mobile terminal device Start a claim application process; step S102, the mobile terminal device retrieves the diagnosis certificate containing the seal letter image data through the image capture module, and converts it into the image file; step S103, the seal letter processing module first Perform background color preprocessing on the image file, and then use edge detection to define the detected edge of the printed image data, calculate the variation of the color code value of the printed image data, and determine whether it is higher than a threshold, To generate an anti-counterfeiting identification result; step S104, if the variation of the color code value is lower than the threshold value, the anti-counterfeiting identification result is true, the character recognition module recognizes the image file, and generates the text resource Data and the printed image data; step S105, the mobile communication module transmits the text data and the printed image data to the cloud communication unit of the cloud parsing server; step S106, the cloud communication unit receives the text data and the Print letter image data and store it in the cloud storage unit; Step S107, the cloud processing unit parses the at least one injury name in the text data, and finds the corresponding international in the international disease classification code pre-stored by the cloud storage unit The disease classification code is then stored in the cloud storage unit, and transmitted from the cloud communication unit to the claims communication unit of the insurance claims server; step S108, the claims processing unit of the insurance claims server according to the policy and the at least An international disease classification code corresponding to the name of an injury or illness generates a claimable result and a claimable amount, and the claimant communication unit transmits the claimable amount to a bank server; in step S109, the bank server sends the claimable claim The amount is transferred to the account of the insurer, and a claim result is returned to the insurance claim server, and the claim storage unit stores the claim result; in step S110, the claim communication unit transmits the claim result to the mobile terminal device The mobile communication module enables the application program of the mobile terminal device to end the claim application process.
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