TWI730374B - Automatic teller machine warning system - Google Patents
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Abstract
Description
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 present 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 public can not only withdraw money through ATMs, but also provide services such as deposits, payment or transfers, and the number of ATM bases is also increasing, which has become an indispensable part of modern society. The existing ATMs are only equipped with video recording facilities, and the video and audio content of the video is stored separately by each financial institution. With regard to financial card theft cases, rampant fraudulent group riders, and increasingly sophisticated criminal equipment, the existing security mechanisms of ATMs are fundamentally difficult to prevent, causing losses to financial institutions and customers, and serious public security problems.
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, there is indeed a need for an improved ATM system in practice, which can at least solve the above shortcomings.
本發明提供一種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, whose detection and alarm mechanism for abnormal events can better target 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 teller machine early warning system is provided, which includes an automatic teller machine, an image capturing component, a facial feature comparison unit, a processor, and a warning device. The image capturing component is arranged in the automated teller machine, and the image capturing component continuously captures multiple facial images. The facial feature comparison unit is electrically connected to the image capturing element and determines 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 determines whether the total time spanned by the facial images is greater than the upper limit of the time. When the total time is greater than the upper limit of the time, the processor outputs a second confirmation signal. The warning device is arranged in the automatic teller machine and is 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 provided by the present invention can determine whether the person operating the automatic teller machine is the same person based on the detected facial image. In addition, the ATM further records the login time of the financial card at the ATM to determine whether the login time of the financial card at the ATM is abnormal. Furthermore, the number of different accounts logged into the ATM is recorded to determine whether the number of financial cards logged into the ATM is abnormal. Through multiple judgment mechanisms, the processor’s accuracy in judging whether financial theft has occurred is improved, and the number of misjudgments is effectively reduced, thereby preventing the warning device from issuing warning signals at the wrong time and causing a 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 description of the following embodiments are used to demonstrate and explain the spirit and principle of the present invention, and to provide a further explanation of the scope of the patent application 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 will be described in detail in the following embodiments. The content is sufficient to enable anyone familiar with the relevant art to understand the technical content of the present invention and implement it accordingly, and according to the content disclosed in this specification, the scope of patent application and the drawings. Anyone who is familiar with relevant skills can easily understand the purpose and advantages of the present invention. The following examples further illustrate the viewpoints of the present invention in detail, but do not limit the scope of the present invention by any viewpoint.
圖1係繪示本發明第一實施例的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 showing the early warning system of an automatic teller machine according to the first embodiment of the present invention. As shown in Figure 1, the automatic teller machine early warning system includes an
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
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
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
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
圖2係繪示本發明第二實施例的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 showing an early warning system of an automatic teller machine according to a second embodiment of the present invention. The embodiment of FIG. 2 is mostly the same as the embodiment of FIG. 1, the difference is that the facial
圖3係繪示本發明第一實施例的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 the early warning method of the automatic teller machine according to the first embodiment of the present invention. As shown in FIG. 3, in step S10, the
圖4A及圖4B係繪示本發明第二實施例的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。4A and 4B are flowcharts of the automatic teller machine early warning method according to the second embodiment of the present invention. As shown in FIGS. 4A and 4B, steps S20 to S27 are substantially the same as steps S10 to S17 in FIG. 3, and the embodiment of FIGS. 4A and 4B further includes step S28. When the
圖5A及圖5B係繪示本發明一實施例的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 flowcharts of an automatic teller machine early warning method according to an embodiment of the present invention. As shown in FIGS. 5A and 5B, steps S30 to S38 are substantially the same as steps S20 to S28 in FIGS. 4A and 4B. The embodiment of FIGS. 5A and 5B further includes steps S39 to S42. When the
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
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14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
本發明所提供的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 provided by the present invention can determine whether the operator of the automatic teller machine is the same person based on the detected facial image. In addition, the ATM further records the total time for the financial card to log in to the ATM, so as to determine whether the login time of the financial card at the ATM is abnormal. Furthermore, the number of different accounts logged into the ATM is recorded to determine whether the number of financial cards logged into the ATM is abnormal. Through the setting of multiple early warning mechanisms, the processor’s correct probability of determining whether financial theft has occurred is increased, and the number of misjudgments is effectively reduced, thereby avoiding the warning device from issuing warning signals at the wrong time and causing a 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 in the foregoing embodiments, it is not intended to limit the present invention. All changes and modifications made without departing from the spirit and scope of the present invention fall within the scope of the patent protection of the present invention. For the scope of protection defined by the present invention, please refer to the attached scope of patent application.
10:自動櫃員機
11:讀取元件
12:影像擷取元件
13:警示裝置
14:第一網路連接介面
20:銀行伺服主機
15、21:臉部特徵擷取單元
16、22:處理器
23:第一網路連接介面10: ATM
11: Read components
12: Image capture component
13: Warning device
14: The first network connection interface
20:
圖1係繪示本發明第一實施例的自動櫃員機預警系統的示意圖。 圖2係繪示本發明第二實施例的自動櫃員機預警系統的示意圖。 圖3係繪示本發明第一實施例的自動櫃員機預警方法的流程圖。 圖4A及圖4B係繪示本發明第二實施例的自動櫃員機預警方法的流程圖。 圖5A及圖5B係繪示本發明第三實施例的自動櫃員機預警方法的流程圖。Fig. 1 is a schematic diagram showing the early warning system of an automatic teller machine according to the first embodiment of the present invention. Fig. 2 is a schematic diagram showing an early warning system of an automatic teller machine according to a second embodiment of the present invention. FIG. 3 is a flow chart showing the early warning method of the automatic teller machine according to the first embodiment of the present invention. 4A and 4B are flowcharts of the automatic teller machine early warning method according to the second embodiment of the present invention. FIG. 5A and FIG. 5B are flowcharts of the automatic teller machine early warning method according to the third embodiment of the present invention.
10:自動櫃員機 10: ATM
11:讀取單元 11: Reading 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
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