TWI793494B - Automatic teller machine warning system with photography function - Google Patents

Automatic teller machine warning system with photography function Download PDF

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TWI793494B
TWI793494B TW110100697A TW110100697A TWI793494B TW I793494 B TWI793494 B TW I793494B TW 110100697 A TW110100697 A TW 110100697A TW 110100697 A TW110100697 A TW 110100697A TW I793494 B TWI793494 B TW I793494B
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teller machine
automatic teller
processor
facial
signal
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TW202121311A (en
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張芷瑜
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華南商業銀行股份有限公司
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Abstract

An automatic teller machine warning system with hidden photography function comprises an automatic teller machine, an image capturing component, a face feature comparison unit, a processor and a warning device. The image capturing component is a hidden camera, the image capturing component is disposed in the automated teller machine and continuously captures a plurality of face images. The face feature comparison unit determines whether the face images have the same face feature and outputs a first confirmation signal when the face images have the same face feature. The processor determines whether the total time of the face images is greater than an upper time limit, when the total time is greater than the upper time limit, the processor outputs a second confirmation signal, and the warning device reads the second confirmation signal to output a warning signal.

Description

具攝影功能之自動櫃員機預警系統 Automatic teller machine warning system with camera function

本發明係關於一種自動櫃員機，尤指一種具備預警功能的自動櫃員機。 The invention relates to an automatic teller machine, especially an automatic teller machine with an early warning function.

現代社會大眾不僅可以透過自動櫃員機提款，還可以進行存款、繳費或轉帳等服務，並且自動櫃員機的據點也日益增加，著實成為現代社會大眾生活裡不可缺少的部份。現有之自動櫃員機由於僅裝設錄影設施，且錄影之影音內容係為各家金融機構所各別儲存。對於金融卡盜領案層出不窮，詐騙集團車手猖獗，以及犯案器具日益精良，現有的自動櫃員機的安全機制根本難以防範，造成金融機構及客戶的損失，亦形成社會治安的嚴重問題。 In modern society, the general public can not only withdraw money through ATMs, but also perform services such as deposits, bill payments, or transfers, and the number of ATMs is increasing day by day. It has indeed become an indispensable part of people's lives in modern society. The existing automatic teller machines are only equipped with video recording facilities, and the audio and video content of the video recordings are stored separately by each financial institution. With the emergence of financial card theft cases, rampant fraud syndicate drivers, and increasingly sophisticated criminal equipment, the existing ATM security mechanism is difficult to prevent, causing losses to financial institutions and customers, and also causing serious problems in social security.

有鑑於此，在實務上確實需要一種改良的自動櫃員機系統，至少可解決以上缺失。 In view of this, in practice, there is indeed a need for an improved automatic teller machine system that can at least solve the above deficiencies.

本發明提供一種具隱藏攝影功能之自動櫃員機預警系統，其對於異常事件的偵測與警報機制，更能針對現今的犯罪手法，有效地避免自動櫃員機被盜領。 The present invention provides an automatic teller machine early warning system with a hidden camera function. Its detection and alarm mechanism for abnormal events can be more targeted at current criminal methods and effectively prevent the automatic teller machine from being stolen.

依據本發明的一實施例，提供一種具隱藏攝影功能之自動 櫃員機預警系統，包括自動櫃員機、影像擷取元件、臉部特徵比對單元、處理器以及警示裝置。影像擷取元件設置於自動櫃員機，影像擷取元件為一隱藏式攝影機，影像擷取元件連續地擷取多個臉部影像。臉部特徵比對單元電性連接於影像擷取元件且判斷該些臉部影像是否具有相同的臉部特徵。當該些臉部影像具有相同臉部特徵時，臉部特徵比對單元輸出第一確認訊號。處理器電性連接臉部特徵比對單元，當臉部特徵比對單元輸出第一確認訊號時，處理器判斷該些臉部影像所跨越的總時間是否大於時間上限。當總時間大於時間上限時，處理器輸出第二確認訊號。警示裝置設置於自動櫃員機且電性連接於處理器，當處理器輸出第二確認訊號時，警示裝置讀取第二確認訊號以輸出警示訊號。 According to an embodiment of the present invention, an automatic camera with hidden photography function is provided The teller machine early warning system includes an automatic teller machine, an image capture component, a facial feature comparison unit, a processor and a warning device. The image capture component is arranged in the automatic teller machine, the image capture component is a hidden camera, and the image capture component continuously captures multiple facial images. The facial feature comparing unit is electrically connected to the image capturing element and judges whether the facial images have the same facial features. When the facial images have the same facial features, the facial feature comparison unit outputs a first confirmation signal. The processor is electrically connected to the facial feature comparison unit, and when the facial feature comparison unit outputs the first confirmation signal, the processor judges whether the total time spanned by the facial images is greater than the time limit. When the total time is greater than the time upper limit, the processor outputs a second confirmation signal. The warning device is arranged on the automatic teller machine and electrically connected to the processor. When the processor outputs the second confirmation signal, the warning device reads the second confirmation signal to output the warning signal.

本發明所提供的具隱藏攝影功能之自動櫃員機預警系統，可以根據所偵測之臉部影像，判定操作自動櫃員機的人員是否為同一人。此外自動櫃員機更進一步紀錄金融卡於自動櫃員機之登入時間，藉此判斷金融卡於自動櫃員機的登入時間是否異常。再者，更紀錄登入自動櫃員機的相異帳號數量，藉此判斷登入自動櫃員機的金融卡數量是否異常。透過多重的判斷機制，提高處理器判斷是否發生金融盜領行為的準確率，有效地減少誤判的次數，藉此避免警示裝置在錯誤的時機發出警示訊號，造成硬體資源的浪費。 The automatic teller machine early warning system with hidden camera function provided by the present invention can determine whether the person operating the automatic teller machine is the same person according to the detected facial image. In addition, the automatic teller machine further records the login time of the financial card in the automatic teller machine, so as to judge whether the login time of the financial card in the automatic teller machine is abnormal. Furthermore, the number of different accounts logged into the automatic teller machine is further recorded, so as to determine whether the number of financial cards logged into the automatic teller machine is abnormal. Through multiple judging mechanisms, the processor can improve the accuracy of judging whether financial robbery has occurred, effectively reducing the number of misjudgments, thereby preventing the warning device from sending out warning signals at the wrong time, resulting in waste of hardware resources.

以上之關於本發明內容之說明及以下之實施方式之說明係用以示範與解釋本發明之精神與原理，並且提供本發明之專利申請範圍更進一步之解釋。 The above description of the content of the present invention and the following description of the implementation are used to demonstrate and explain the spirit and principle of the present invention, and provide a further explanation of the patent application scope of the present invention.

10:自動櫃員機 10: Automatic teller machine

11:讀取單元 11: Read unit

12:影像擷取元件 12: Image capture component

13:警示裝置 13:Warning device

14:第一網路連接介面 14: The first network connection interface

20:銀行伺服主機 20: Bank server host

15、21:臉部特徵比對單元 15, 21: Facial feature comparison unit

16、22:處理器 16, 22: Processor

23:第二網路連接介面 23: The second network connection interface

圖1係繪示本發明第一實施例的具隱藏攝影功能之自動櫃員機預警系統的示意圖。 FIG. 1 is a schematic diagram of an automatic teller machine warning system with a hidden camera function according to a first embodiment of the present invention.

圖2係繪示本發明第二實施例的具隱藏攝影功能之自動櫃員機預警系統的示意圖。 FIG. 2 is a schematic diagram of an automatic teller machine warning system with a hidden camera function according to a second embodiment of the present invention.

圖3係繪示本發明第一實施例的具隱藏攝影功能之自動櫃員機預警方法的流程圖。 FIG. 3 is a flow chart showing an early warning method for an automatic teller machine with a hidden camera function according to the first embodiment of the present invention.

圖4A及圖4B係繪示本發明第二實施例的具隱藏攝影功能之自動櫃員機預警方法的流程圖。 FIG. 4A and FIG. 4B are flow charts showing an early warning method for an automatic teller machine with a hidden camera function according to a second embodiment of the present invention.

圖5A及圖5B係繪示本發明第三實施例的具隱藏攝影功能之自動櫃員機預警方法的流程圖。 FIG. 5A and FIG. 5B are flow charts showing an early warning method for an automatic teller machine with a hidden camera function according to a third embodiment of the present invention.

以下在實施方式中詳細敘述本發明之詳細特徵以及優點，其內容足以使任何熟習相關技藝者了解本發明之技術內容並據以實施，且根據本說明書所揭露之內容、申請專利範圍及圖式，任何熟習相關技藝者可輕易地理解本發明相關之目的及優點。以下之實施例係進一步詳細說明本發明之觀點，但非以任何觀點限制本發明之範疇。 The detailed features and advantages of the present invention are described in detail below in the implementation mode, and its content is enough to make any person familiar with the related art understand the technical content of the present invention and implement it accordingly, and according to the content disclosed in this specification, the scope of the patent application and the drawings , anyone skilled in the art can easily understand the purpose and advantages of the present invention. The following examples are to further describe the concept of the present invention in detail, but not to limit the scope of the present invention in any way.

圖1係繪示本發明第一實施例的具隱藏攝影功能之自動櫃員機預警系統的示意圖。如圖1所示，自動櫃員機預警系統包括自動櫃員機10以及銀行伺服主機20，其中自動櫃員機10包括讀取單元11、影像擷取元件12、警示裝置13以及第一網路連接介面14，而銀行伺服主機20包括臉部特徵比對單元21、處理器22以及第二網路連接介面23。第一網 路連接介面14與第二網路連接介面23連接至網路，使得自動櫃員機10與銀行伺服主機20之間可以雙向溝通。 FIG. 1 is a schematic diagram of an automatic teller machine warning system with a hidden camera function according to a first embodiment of the present invention. As shown in Figure 1, the automatic teller machine warning system includes an automatic teller machine 10 and a bank server host 20, wherein the automatic teller machine 10 includes a reading unit 11, an image capture element 12, a warning device 13 and a first network connection interface 14, and the bank The server host 20 includes a facial feature comparison unit 21 , a processor 22 and a second network connection interface 23 . First Net The road connection interface 14 and the second network connection interface 23 are connected to the network, so that the automatic teller machine 10 and the bank server host 20 can communicate bidirectionally.

自動櫃員機10的讀取單元11電性連接於影像擷取元件12及第一網路連接介面14，當自動櫃員機10的使用者***金融卡後，讀取單元11讀取金融卡帳號以輸出致能訊號至影像擷取元件12，藉此驅動影像擷取元件12擷取影像。影像擷取元件12可例如為隱藏式攝影機，且用於連續地擷取影像。影像擷取元件12設置於自動櫃員機10上的適當高度，以使影像擷取元件12的拍攝角度範圍涵蓋到自動櫃員機10的操作人員的臉部。例如，影像擷取元件12設置於自動櫃員機10的顯示螢幕的框架上。為了減少拍攝的死角，影像擷取元件12的數量可為多個且分別設置於自動櫃員機10上的不同位置，例如，多個影像擷取元件12分別設置於顯示螢幕的上側框架、左側框架、右側框架。 The reading unit 11 of the automatic teller machine 10 is electrically connected to the image capture element 12 and the first network connection interface 14. When the user of the automatic teller machine 10 inserts the financial card, the reading unit 11 reads the financial card account number to output the result The energy signal is sent to the image capture element 12, thereby driving the image capture element 12 to capture an image. The image capture unit 12 can be, for example, a hidden camera, and is used to continuously capture images. The image capture unit 12 is arranged at an appropriate height on the automatic teller machine 10 , so that the shooting angle range of the image capture unit 12 covers the face of the operator of the automatic teller machine 10 . For example, the image capture unit 12 is disposed on the frame of the display screen of the automatic teller machine 10 . In order to reduce the dead angle of shooting, the number of image capture elements 12 can be multiple and respectively arranged in different positions on the automatic teller machine 10, for example, a plurality of image capture elements 12 are respectively arranged on the upper frame, left frame, right frame.

銀行伺服器20的臉部特徵比對單元21可例如為儲存有臉部辨識演算法之現場可程式化邏輯陣列(Field Programmable Gate Array,FPGA)且電性連接於處理器22與第二網路連接介面23。關於臉部特徵比對單元21的一實施例中，當人臉影像是二維影像或三維影像時，臉部特徵比對單元21從來自影像擷取元件12的每一人臉影像中取得至少一個臉部特徵(例如眼、耳、口、鼻、臉部輪廓)於二維空間或三維空間的形狀、位置或數個臉部特徵之間的相對位置。之後，臉部特徵比對單元21再將每一人臉影像的臉部特徵儲存於銀行伺服主機20的儲存裝置中。臉部特徵比對單元21將連續多張人臉影像的臉部特徵進行比對，若判斷該些人臉影像的臉部特徵全部相同時，則驗證該些人臉影像均為同一人而輸出第一確認訊 號至處理器22。 The facial feature comparison unit 21 of the bank server 20 can be, for example, a field programmable logic array (Field Programmable Gate Array, FPGA) storing a facial recognition algorithm and is electrically connected to the processor 22 and the second network. Connection interface 23 . In an embodiment of the face feature comparison unit 21, when the face image is a two-dimensional image or a three-dimensional image, the face feature comparison unit 21 obtains at least one face image from each face image from the image capture unit 12. The shape and position of facial features (eg, eyes, ears, mouth, nose, facial contour) in two-dimensional space or three-dimensional space, or the relative position between several facial features. Afterwards, the facial feature comparison unit 21 stores the facial features of each face image in the storage device of the bank server host 20 . Facial feature comparison unit 21 compares the facial features of a plurality of continuous human face images, and if it is judged that the facial features of these human face images are all the same, then verify that these human face images are all the same person and output first confirmation to the processor 22.

處理器22可例如為中央處理器(CPU)、數位訊號處理器(DSP)、微處理器(MPU)、圖形處理器(GPU)或微控制器(MCU)，處理器22電性連接於第二網路連接介面23且持續紀錄每一張人臉影像出現的時間。處理器22預設有一時間上限，當處理器22接收到第一確認訊號時，處理器22判斷該些臉部影像所出現的總時間是否大於時間上限。當處理器22確認該些臉部影像出現的總時間大於預設的時間上限時，處理器22輸出第二確認訊號至第二網路連接介面23。此外，處理器22還預設一數量門檻。當處理器22確認該些臉部影像出現的總時間未大於預設的時間上限時，處理器22更進一步判斷該些臉部影像出現的時間區間內登入自動櫃員機10的相異帳號數量是否大於數量門檻。當處理器22確認登入自動櫃員機10相異帳號數量大於數量門檻時，處理器22亦輸出第二確認訊號至第二網路連接介面23。 The processor 22 can be, for example, a central processing unit (CPU), a digital signal processor (DSP), a microprocessor (MPU), a graphics processing unit (GPU) or a microcontroller (MCU), and the processor 22 is electrically connected to the second 2. The network connection interface 23 continuously records the time when each face image appears. The processor 22 presets a time limit, and when the processor 22 receives the first confirmation signal, the processor 22 determines whether the total time of the facial images is greater than the time limit. When the processor 22 confirms that the total time of these facial images is greater than the preset time limit, the processor 22 outputs a second confirmation signal to the second network connection interface 23 . In addition, the processor 22 also presets a quantity threshold. When the processor 22 confirms that the total time that these facial images appear is not greater than the preset time upper limit, the processor 22 further determines whether the number of different accounts logged into the ATM 10 during the time interval when these facial images appear is greater than quantity threshold. When the processor 22 confirms that the number of different accounts logged into the ATM 10 is greater than the threshold, the processor 22 also outputs a second confirmation signal to the second network connection interface 23 .

警示裝置13電性連接於第一網路連接介面14，而當警示裝置13接收到來自處理器22的第二確認訊號後，警示裝置13輸出警示訊號。警示訊號例如包含聲音訊號以及光訊號，而光訊號具有閃爍頻率，聲音訊號可包含有具有警示意味的字串，藉此達到嚇阻的作用。 The warning device 13 is electrically connected to the first network connection interface 14, and when the warning device 13 receives the second confirmation signal from the processor 22, the warning device 13 outputs a warning signal. The warning signal includes, for example, a sound signal and a light signal, and the light signal has a flickering frequency, and the sound signal may contain a warning word string, so as to achieve a deterrent effect.

圖2係繪示本發明第二實施例的具隱藏攝影功能之自動櫃員機預警系統的示意圖。圖2的實施例與圖1的實施例大部分相同，差異在於臉部特徵比對單元15與處理器16直接設置於自動櫃員機10，省去自動櫃員機10經由網路傳遞資料至銀行伺服主機20的時間。也因為資料傳遞不需透過網路連線，所以即使自動櫃員機10與銀行伺服主機20之間的 網路連線發生故障，自動櫃員機10上的預警機制依然可正常的運作。 FIG. 2 is a schematic diagram of an automatic teller machine warning system with a hidden camera function according to a second embodiment of the present invention. The embodiment in FIG. 2 is mostly the same as the embodiment in FIG. 1 , the difference is that the facial feature comparison unit 15 and the processor 16 are directly installed in the ATM 10, eliminating the need for the ATM 10 to transmit data to the bank server host 20 via the network. time. Also because data transmission does not need to be connected through the network, so even if the automatic teller machine 10 and the bank server host 20 When the network connection fails, the warning mechanism on the automatic teller machine 10 can still operate normally.

圖3係繪示本發明第一實施例的具隱藏攝影功能之自動櫃員機預警方法的流程圖。如圖3所示，在步驟S10，以自動櫃員機10的讀取單元11判斷是否讀取到一金融卡帳號。若有讀取到金融卡帳號，則進入步驟S11。若沒有讀取到金融卡帳號，則結束預警方法。在步驟S11，當自動櫃員機10的讀取單元11讀取到金融卡帳號時，以讀取單元11輸出致能訊號至影像擷取元件12。由此可知，只有當金融卡***自動櫃員機10時，才能啟動影像擷取元件12。在步驟S12，以自動櫃員機10的影像擷取元件12連續地擷取多個臉部影像。在步驟S13，以臉部特徵比對單元21判斷該些臉部影像是否具有相同的臉部特徵，當臉部特徵比對單元21確認該些臉部影像具有相同的臉部特徵時，即表示自動櫃員機10的使用者為同一人，則接續執行步驟S14。反之，當該臉部特徵比對單元21確認該些臉部影像的臉部特徵不同時，即表示自動櫃員機10的使用者非同一人的情況，則結束預警方法。在步驟S14，以臉部特徵比對單元21輸出第一確認訊號至處理器22。在步驟S15時，當處理器22接收第一確認訊號後，以處理器22判斷該些臉部影像出現的總時間是否大於處理器22預設的時間上限。當處理器22確認總時間大於時間上限時，執行步驟S16。當處理器22確認總時間未大於時間上限時，即表示同一人在正常時間內操作自動櫃員機10的情況，則結束預警方法。在步驟S16，以處理器22輸出第二確認訊號至警示裝置13。在步驟S17，當自動櫃員機10的警示裝置13取得第二確認訊號後，以警示裝置13輸出警示訊號。在一實施例中，警示裝置13輸出的警示訊號將透過第一網路連接介面14傳送至保全中心，藉此呼 叫保全中心的工作人員去處理。在另一實施例中，警示裝置13持續地輸出警示訊號，使得自動櫃員機10的使用者得以聽到警示訊號，直到讀取單元11讀不到金融卡帳號，警示裝置13才停止發出警示訊號。意即警示裝置13會不斷地警告自動櫃員機10的使用者，直到他停止使用金融卡操作自動櫃員機10為止。上述的安全預警機制，即是在模擬不肖人士採集停留於自動櫃員機10的按鍵上的指紋的情況、或者利用盜取的金融卡將現金轉帳至多個帳戶的情況。 FIG. 3 is a flow chart showing an early warning method for an automatic teller machine with a hidden camera function according to the first embodiment of the present invention. As shown in FIG. 3 , in step S10 , the reading unit 11 of the ATM 10 judges whether a financial card account number has been read. If the bank account number is read, go to step S11. If no financial card account number is read, the early warning method ends. In step S11 , when the reading unit 11 of the automatic teller machine 10 reads the bank card account number, the reading unit 11 outputs an enabling signal to the image capturing device 12 . It can be seen from this that the image capture component 12 can be activated only when the financial card is inserted into the automatic teller machine 10 . In step S12 , the image capture unit 12 of the automatic teller machine 10 continuously captures a plurality of facial images. In step S13, it is determined whether these facial images have the same facial features by the facial feature comparison unit 21, and when the facial feature comparison unit 21 confirms that these facial images have the same facial features, it means If the user of the automatic teller machine 10 is the same person, step S14 is then executed. On the contrary, when the facial feature comparison unit 21 confirms that the facial features of the facial images are different, it means that the users of the automatic teller machine 10 are not the same person, and the warning method ends. In step S14 , the facial feature comparison unit 21 outputs a first confirmation signal to the processor 22 . In step S15 , after the processor 22 receives the first confirmation signal, the processor 22 judges whether the total time of appearance of the facial images is greater than the preset time limit of the processor 22 . When the processor 22 confirms that the total time is greater than the upper time limit, step S16 is executed. When the processor 22 confirms that the total time is not greater than the upper time limit, which means that the same person operates the ATM 10 within the normal time, the warning method ends. In step S16 , the processor 22 outputs a second confirmation signal to the warning device 13 . In step S17, after the warning device 13 of the automatic teller machine 10 obtains the second confirmation signal, the warning device 13 outputs a warning signal. In one embodiment, the warning signal output by the warning device 13 will be transmitted to the security center through the first network connection interface 14, thereby calling Call the staff of the security center to deal with it. In another embodiment, the warning device 13 continuously outputs the warning signal so that the user of the ATM 10 can hear the warning signal, and the warning device 13 stops sending the warning signal until the reading unit 11 fails to read the bank card account number. That is to say, the warning device 13 will continuously warn the user of the automatic teller machine 10 until he stops using the financial card to operate the automatic teller machine 10 . The above-mentioned safety warning mechanism is to simulate the situation where unscrupulous persons collect fingerprints staying on the buttons of the automatic teller machine 10, or use a stolen financial card to transfer cash to multiple accounts.

圖4A及圖4B係繪示本發明第二實施例的具隱藏攝影功能之自動櫃員機預警方法的流程圖。如圖4A及圖4B所示，步驟S20至步驟S27與圖3的步驟S10至步驟S17實質相同，圖4A及圖4B的實施例更包括步驟S28。當處理器22確認總時間未大於時間上限時，執行步驟S28。在步驟S28，以處理器22判斷在總時間內登入自動櫃員機10的相異帳號數量是否大於一數量門檻。當處理器22確認相異帳號數量大於數量門檻，即表示有不正常數量的金融卡持續登入自動櫃員機10，則執行步驟S26。當處理器22確認相異帳號數量未大於數量門檻，即表示登入自動櫃員機10的金融卡數量處於正常範圍，則結束預警方法。上述的預警機制，即是模擬不肖人士使用多張盜取的金融卡於自動櫃員機10進行交易的情況。 FIG. 4A and FIG. 4B are flow charts showing an early warning method for an automatic teller machine with a hidden camera function according to a second embodiment of the present invention. As shown in FIG. 4A and FIG. 4B , step S20 to step S27 are substantially the same as step S10 to step S17 in FIG. 3 , and the embodiment in FIG. 4A and FIG. 4B further includes step S28. When the processor 22 confirms that the total time is not greater than the upper time limit, step S28 is executed. In step S28, the processor 22 determines whether the number of different accounts logged into the ATM 10 within the total time is greater than a threshold. When the processor 22 confirms that the number of different account numbers is greater than the threshold number, which means that there are abnormal number of financial cards continuously logged into the ATM 10, step S26 is executed. When the processor 22 confirms that the number of different account numbers is not greater than the number threshold, which means that the number of financial cards logged into the ATM 10 is within a normal range, the warning method ends. The above-mentioned early warning mechanism is to simulate the situation that unscrupulous people use multiple stolen financial cards to conduct transactions in the automatic teller machine 10 .

圖5A及圖5B係繪示本發明一實施例的具隱藏攝影功能之自動櫃員機預警方法的流程圖。如圖5A及圖5B所示，步驟S30至步驟S38與圖4A及圖4B的步驟S20至步驟S28實質相同，圖5A及圖5B的實施例更包括步驟S39至步驟S42。當處理器22確認相異帳號數量未大於數量門檻時，則執行步驟S39。在步驟S39中，銀行伺服主機20儲存有一 黑名單資料，該黑名單資料包含有多筆具有金融罪犯的臉部影像，以臉部特徵比對單元21判斷該些臉部影像是否符合黑名單資料內的臉部影像。若臉部特徵比對單元21確認該些臉部影像有符合黑名單資料內的臉部影像，則執行步驟S40。若臉部特徵比對單元21確認該些臉部影像沒有符合黑名單資料內的臉部影像，則結束預警方法。在步驟S40，以臉部特徵比對單元21發出第三確認訊號至處理器22。在步驟S41，當處理器22接收第三確認訊號後，以處理器22發出第四確認訊號至警示裝置13。在步驟S42中，當警示裝置13讀取第四確認訊號後，以警示裝置13發出警示訊號。上述的預警機制，即是加設一道關卡預防手法純熟的詐騙集團車手。 5A and 5B are flow charts showing an early warning method for an automatic teller machine with a hidden camera function according to an embodiment of the present invention. As shown in FIG. 5A and FIG. 5B , step S30 to step S38 are substantially the same as step S20 to step S28 in FIG. 4A and FIG. 4B , and the embodiment in FIG. 5A and FIG. 5B further includes step S39 to step S42. When the processor 22 confirms that the number of different accounts is not greater than the number threshold, step S39 is executed. In step S39, the bank server 20 stores a Blacklist data, the blacklist data contains multiple facial images of financial criminals, and the facial feature comparison unit 21 is used to determine whether these facial images match the facial images in the blacklist data. If the facial feature comparison unit 21 confirms that the facial images match the facial images in the blacklist data, step S40 is executed. If the facial feature comparison unit 21 confirms that the facial images do not match the facial images in the blacklist data, the warning method ends. In step S40 , the facial feature comparison unit 21 sends a third confirmation signal to the processor 22 . In step S41 , after the processor 22 receives the third confirmation signal, the processor 22 sends a fourth confirmation signal to the warning device 13 . In step S42, after the warning device 13 reads the fourth confirmation signal, the warning device 13 sends out a warning signal. The above-mentioned early warning mechanism is to add a checkpoint to prevent drivers who are skilled in defrauding syndicates.

在其他實施例中，當警示裝置13發出警示訊號後，銀行伺服主機20的處理器22更依據自動櫃員機10的所在地址，發出通知訊息給距離自動櫃員機10最近的警察局主機，藉此呼叫警察去自動櫃員機10進行處理。 In other embodiments, after the warning device 13 sends out the warning signal, the processor 22 of the bank server host 20 sends a notification message to the host computer of the police station closest to the automatic teller machine 10 according to the address of the automatic teller machine 10, thereby calling the police Go to the ATM 10 for processing.

在其他實施例中，當自動櫃員機10的數量為多個時，以處理器22判斷是否相同的金融卡帳號登入不同位置的自動櫃員機10的總數量是否大於一數量上限。當不同位置的自動櫃員機10的總數量大於數量上限時，以處理器22發出第二確認訊號至金融卡目前登入的自動櫃員機10上的警示裝置13，藉以驅動警示裝置13發出警示訊號。上述的預警機制，即是在模擬不肖人士利用盜取的金融卡到多台自動櫃員機進行交易的情況。 In other embodiments, when the number of ATMs 10 is multiple, the processor 22 determines whether the total number of ATMs 10 logged into different locations with the same bank card account number is greater than an upper limit. When the total number of automatic teller machines 10 in different locations is greater than the upper limit, the processor 22 sends a second confirmation signal to the warning device 13 on the automatic teller machine 10 where the financial card is currently logged in, so as to drive the warning device 13 to issue a warning signal. The above-mentioned early warning mechanism is simulating the situation where unscrupulous people use stolen financial cards to conduct transactions at multiple ATMs.

本發明所提供的具隱藏攝影功能之自動櫃員機預警系統，可以根據所偵測之臉部影像，判定自動櫃員機的操作人員是否為同一人。此外自動櫃員機更進一步紀錄金融卡登入自動櫃員機之總時間，藉此判定金 融卡於自動櫃員機的登入時間是否異常。再者，更紀錄登入自動櫃員機的相異帳號數量，藉此判斷登入自動櫃員機的金融卡數量是否異常。透過多重預警機制之設定，提高處理器判斷是否發生金融盜領行為的正確機率，有效地減少誤判的次數，藉此避免警示裝置在錯誤的時機發出警示訊號，造成硬體資源的浪費。 The automatic teller machine early warning system with hidden camera function provided by the present invention can determine whether the operator of the automatic teller machine is the same person according to the detected facial image. In addition, the automatic teller machine further records the total time for the financial card to log into the automatic teller machine, so as to determine the amount of money Whether the login time of the credit card at the ATM is abnormal. Furthermore, the number of different accounts logged into the automatic teller machine is further recorded, so as to determine whether the number of financial cards logged into the automatic teller machine is abnormal. Through the setting of multiple early warning mechanisms, the processor can increase the correct probability of judging whether financial robbery has occurred, effectively reducing the number of misjudgments, thereby preventing the warning device from sending out warning signals at the wrong time, resulting in waste of hardware resources.

雖然本發明以前述之實施例揭露如上，然其並非用以限定本發明。在不脫離本發明之精神和範圍內，所為之更動與潤飾，均屬本發明之專利保護範圍。關於本發明所界定之保護範圍請參考所附之申請專利範圍。 Although the present invention is disclosed by the aforementioned embodiments, they are not intended to limit the present invention. Without departing from the spirit and scope of the present invention, all changes and modifications are within the scope of patent protection of the present invention. For the scope of protection defined by the present invention, please refer to the appended scope of patent application.

10:自動櫃員機 10: Automatic teller machine

11:讀取單元 11: Read unit

12:影像擷取單元 12: Image capture unit

13:警示裝置 13:Warning device

14:第一網路連接介面 14: The first network connection interface

20:銀行伺服主機 20: Bank server host

21:臉部特徵比對單元 21: Facial feature comparison unit

22:處理器 22: Processor

23:第二網路連接介面 23: The second network connection interface

Claims (3)

一種具攝影功能之自動櫃員機預警系統，包括：一自動櫃員機，設有一讀取單元，該讀取單元讀取一金融卡帳號以輸出一致能訊號；一影像擷取元件，該影像擷取元件為一攝影機且設置於該自動櫃員機，該影像擷取元件受該致能訊號驅動而連續地擷取多個臉部影像；一臉部特徵比對單元，電性連接於該影像擷取元件且判斷該些臉部影像是否具有相同的臉部特徵，當該些臉部影像具有相同臉部特徵時，該臉部特徵比對單元輸出一第一確認訊號；一處理器，電性連接該臉部特徵比對單元，當該臉部特徵比對單元輸出該第一確認訊號時，該處理器判斷該些臉部影像所出現的總時間是否大於一時間上限，當該總時間大於該時間上限時，該處理器輸出一第二確認訊號；以及一警示裝置，設置於該自動櫃員機且電性連接該處理器，當該處理器輸出該第二確認訊號時，該警示裝置讀取該第二確認訊號以輸出一警示訊號；其中當該總時間小於或等於該時間上限時，該處理器更判斷該些臉部影像出現的時間區間內登入該自動櫃員機的相異帳號數量是否大於一數量門檻，當該處理器確認該相異帳號數量大於該數量門檻時，該處理器輸出該第二確認訊號至該警示裝置。 An automatic teller machine early warning system with a camera function, comprising: an automatic teller machine, provided with a reading unit, the reading unit reads a financial card account number to output an enabling signal; an image capture component, the image capture component is A camera is installed on the automatic teller machine, and the image capture element is driven by the enable signal to continuously capture multiple facial images; a facial feature comparison unit is electrically connected to the image capture element and judges Whether the facial images have the same facial features, when the facial images have the same facial features, the facial feature comparison unit outputs a first confirmation signal; a processor electrically connected to the facial features A feature comparison unit, when the facial feature comparison unit outputs the first confirmation signal, the processor judges whether the total time that these facial images appear is greater than a time upper limit, when the total time is greater than the time upper limit , the processor outputs a second confirmation signal; and a warning device is arranged on the automatic teller machine and electrically connected to the processor, when the processor outputs the second confirmation signal, the warning device reads the second confirmation signal to output a warning signal; wherein when the total time is less than or equal to the time upper limit, the processor further judges whether the number of different accounts logged into the ATM within the time interval when the facial images appear is greater than a number threshold, When the processor confirms that the number of different account numbers is greater than the number threshold, the processor outputs the second confirmation signal to the warning device. 如請求項1所述之具攝影功能之自動櫃員機預警系統，其中該警示訊號包含一聲音訊號以及一光訊號，而該光訊號具有一閃爍頻率。 The automatic teller machine warning system with camera function as described in Claim 1, wherein the warning signal includes an audio signal and a light signal, and the light signal has a flickering frequency. 如請求項1所述之具攝影功能之自動櫃員機預警系統，其中該臉部特徵比對單元以及該處理器設置於一銀行伺服主機，該銀行伺服主機透過一網路與該自動櫃員機通訊連接。 The automatic teller machine early warning system with camera function as described in Claim 1, wherein the facial feature comparison unit and the processor are arranged in a bank server host, and the bank server host communicates with the automatic teller machine through a network.
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TWI245205B (en) * 2001-09-11 2005-12-11 I-Chang Jou Fake withdrawing prevention and early warning monitoring system for ATM based on neural network
CN101266704A (en) * 2008-04-24 2008-09-17 张宏志 ATM secure authentication and pre-alarming method based on face recognition
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Publication number Priority date Publication date Assignee Title
TWI245205B (en) * 2001-09-11 2005-12-11 I-Chang Jou Fake withdrawing prevention and early warning monitoring system for ATM based on neural network
CN101266704A (en) * 2008-04-24 2008-09-17 张宏志 ATM secure authentication and pre-alarming method based on face recognition
TW201905758A (en) * 2016-07-22 2019-02-01 美商美國Nec實驗室有限公司 Active detection for anti-scratch facial recognition
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