581983 ::二 _厂、·/: 玖、發明說明 (發明說明應敘明：發明所屬之技術領域、先前技術、內容、實施方式及圖式簡單說明) 【發明所屬之技術領域】 本發明係有關於一種紙張類確認方法，特別是適用於自 動櫃員機（ATM)、自動販賣機等，更詳細而言，係有關於 一種紙張類確認裝置，即使產生紙張類之堆疊搬送、傾斜（斜 行）、彎折、破損等，亦可正確的確定張數與種別。 【先前技術】 一般，在搬送紙幣、有價證券、規定用紙、卡片等紙張 類的搬送路徑，係爲組合所對設之搬送輥輪與輸送帶等搬 送構件，而具有將紙張類一張張進行夾持搬送之構造。 作爲在該搬送路徑上檢測所搬送之紙張類之張數之裝 置，已知係例如有先申請之專利文獻1 (日本專利特開 200 1 -266 1 05號公報）中所述之裝置。 此種裝置係如第15圖（A)所示，已被導入至搬送路徑151 之紙張類152之搬送過程中，設定有將搬送寬度方向分隔 成3份之檢測區域（3軌道）1 5 3 a、1 5 3 b、1 5 3 c。並且，基於 對應於該等已被分隔之各軌道所配設之第1至第3厚度感 測器154a、154b、154c的檢測信號、以及來自未圖示之影 像掃描器之資料，以確認檢測紙張類之搬送狀態或搬送時 之張數。 不過，如第1 5圖（B)所示，作爲此種檢測方法，係由已 通過紙張類152之部分的各個厚度感測器154a……之感測 資料量（積分値）來計算出每1次掃描之厚度量。且由各個 厚度感測器154a ······之感測資料量來推定張數。 特別是將3軌道153a、i53b、i53c之各個檢測區域之 全部感測資料設定成張數確定條件。因此，僅在全軌道之 張數結果爲一致的情況下，才辨識到已搬送1張紙張類 152° 然而’如第16圖（A)所示，當在搬送路徑151上紙張類 152爲大幅度的傾斜時，此種大幅傾斜之紙張類152係形 成爲僅通過第1、第2軌道153a、153b之部分，而未通過 第3軌道1 5 3 c之部分。 在此情況下，即使將檢測第1、第2軌道1 5 3 a、1 5 3 b之 位置的第1、第2厚度檢測器154a、154b進行檢測確認， 不過，檢測第3軌道153c之位置的第3厚度感測器154c 係無法檢測，其結果，儘管已通過1張，仍有無法確定張 數、而有計算錯誤之虞。 再者，如第16圖（B)所示，具有設定成可藉由2/3軌道 份（例如，第1軌道153a與第2軌道153b)來確定紙張類152 之張數的情況。在此情況下，如在該圖中以假想線虛線所 示，可判斷出僅通過紙張類152a所殘留之第1/3軌道（第3 軌道1 5 3 〇。因此，亦有辨識錯誤之可能性，其結果係產生 有計算錯誤之虞。 此外，如第1 7圖所示，即使當紙張類1 5 2傾斜、通過3 軌道1 5 3 a〜1 5 3 c之全部區域的情況下，在大幅傾斜時，造 成紙張類端緣難以接觸到端軌道，而在中央軌道與端軌道 方面，於每個軌道中之感測器資料量1 5 5 a、1 5 5 b、1 5 5 c中 581983 係產生差異。因此，由兩端之感測資料量1 5 5 a、1 5 5 c係檢 測到1張，而由中央之感測資料量1 5 5 b則檢測到2張。其 結果，無法確定張數而造成檢測錯誤之原因。 再者，作爲其他例子，已知係例如有如專利文獻2 (日本 專利特開5 -46842號公報）中所述，爲在輸送路徑上具備有 厚度檢測機構與影像檢測機構之搬送媒體。若藉由此種裝 置，即使在搬送時之斜行爲呈劇烈的情況、或是有重疊多 數張的情況下，亦可確定紙張類之種類或張數。 亦即，爲藉由影像讀取器等影像檢測機構來讀取紙張類 之花樣圖型、外形形狀，由厚度檢測機構之輸出來確認有 無重疊。之後，便由已除去之外形形狀來抽取出紙張類之 圖型，以求出紙張類之大小與張數。 在此情況下，有關於厚度檢測係僅有調查是否爲處於重 疊狀態，而外形形狀之讀取則是藉由影像檢測機構來進行。 此外，關於影像檢測係形成爲，在影像資料中，當無法取 得搬送媒體之外形資訊的情況下則無法進行判別。例如， 在判別紙幣時，若外形之角隅部分無法明確，則因爲將該 角隅部作爲基準而造成難以進行判定確認。而具有無法確 定張數或幣値種類的問題。 具體而言，當具有如第18圖所示之完全被遮蓋住之紙 幣1 8 1的情況下，將造成無法進行張數或幣値種類之確定。 此外，雖然已知係例如有如專利文獻3(日本專利特開7_ 14·1547號公報）中所述之同樣的裝置’不過，其亦是僅藉 由厚度檢測來推斷出有幾張紙幣形成爲重疊、且被搬送中， 581983 而外形形狀之讀取係藉由1維配列之光學線感測器來進 行。 因此，當搬送媒體之外形角隅部分無法明確、具有如第 1 8圖所示之完全被遮蓋住之紙幣1 8 1的情況下，同樣地將 無法進行張數或幣値種類之確定。再者，雖揭示有一種折 角檢測，即，對於全體搬送形態影像而重疊紙幣之整體影 像、分析重疊紙幣之重疊狀態，當與全體影像爲不一致時 * 則設定成具有折角紙幣，除此之外並未揭示其他特徵。 * 【發明內容】 @ 〔發明所欲解決之課題〕 在此，本發明之目的係爲提供一種紙張類確認裝置，係 爲即使在搬送因重疊搬送或傾斜般送等不良的搬送狀態、 以及紙張類本身的彎折、破裂、損壞等所造成之種種狀態 的紙張類時，亦可正確的確定張數或種別。 〔用以解決課題之手段〕 本發明係爲一種紙張類確定裝置，其特徵在於具備有： 厚度感測器，爲將檢測出通過搬送路徑之紙張類之厚度的 多數厚度檢測元件，跨越該搬送路徑之全寬而配列；輪廓 抽出裝置，係由在各厚度檢測元件於每次檢測出之檢測波 形中，抽出表示通過搬送路徑之紙張類之外形形狀的輪廓 資料；記億裝置，爲記憶作爲基準之紙張類之輪廓基礎資 料；比較裝置，爲將由前述輪廓抽出裝置所抽出之輪廓資 料、以及被記憶在前述記憶裝置中之輪廓基礎資料來進行 比較；確定裝置，係由前述比較裝置之比較結果，而至少 -10- 581983 確定紙張類之張數。 在此，所謂的紙張類係爲紙幣、有價證券、規定用紙、 卡片等之總稱。 其結果，藉由將表示橫跨擴搬送寬度方向之全長、且由 實際檢測之檢測波形所求得之紙張類外形形狀的輪廓資 料、以及記憶裝置所記憶之輪廓基礎資料進行比較，藉此 可確定所搬送之紙張類係爲1張搬送或是重疊搬送之通過 張數。 尤其是，厚度檢測器係可藉由橫跨紙張類搬送路徑之搬 送寬度方向之全寬而所配置之多數厚度檢測器，而將全寬 之厚度資料進行細分化、且進行檢測。因此，可呈高精度 的檢測出搬送寬度方向之全區域。而藉由以該等抽出波形 所抽出之輪廓資料，而可正確的捕捉到通過之紙張類的外 形形狀。 此外，由厚度資料與輪廓資料之雙方資料來明確地區分 紙張類之厚度分布狀態以及搬送裝置，可呈高精度的確認 通過張數。因此，假設在已檢測出2張份之厚度的情況下， 或是該部分爲已彎折之狀態、或是重疊搬送狀態下係可進 行判別。 此外，即使輪廓抽出裝置所抽出之紙張類的角隅部分並 不明確，因獲得有已加入厚度資料之紙張類的立體性資料， 故而可明確化重疊狀態、且可正確的辨識到紙張類之張數。 從而’即使紙張類被傾斜搬送、或是使折角狀態或損害 狀態之紙張類進行搬送，仍可確實地確定1張搬送或是重 -11- 581983 疊搬送。因此，將不會有誤算張數之虞，而可進行信賴性 極高之計數管理。 再者，於其他發明中，係爲一種紙張類確定裝置，其特 徵在於具備有：厚度感測器，爲將檢測出通過搬送路徑之 紙張類之厚度的多數厚度檢測元件，跨越該搬送路徑之全 寬而配列；輪廓抽出裝置，係由在各厚度檢測元件於每次 檢測出之檢測波形中，抽出表示通過搬送路徑之紙張類之 外形形狀的輪廓資料；記億裝置，爲記憶作爲基準之紙張 類之輪廓基礎資料；比較裝置，爲將由前述輪廓抽出裝置 所抽出之輪廓資料、以及被記憶在前述記憶裝置中之輪廓 基礎資料來進行比較；確定裝置，係由前述比較裝置之比 較結果，而至少確定紙張類之種別。 藉此，即使在已搬送之紙張類處於重疊搬送或傾斜搬送 等不良的搬送狀態下，仍可由已取得之資料正確地確定紙 張類之種別。 此外，在其他發明中，係爲一種紙張類確定裝置，其特 徵在於具備有：厚度感測器，爲將檢測出通過搬送路徑之 紙張類之厚度的多數厚度檢測元件，跨越該搬送路徑之全 寬而配列；輪廓抽出裝置，係由在各厚度檢測元件於每次 檢測出之檢測波形中，抽出表示通過搬送路徑之紙張類之 外形形狀的輪廓資料；影像資料取得裝置，係相對設於前 述搬送路徑上，在該搬送路徑之搬送過程中，將紙張類之 外形藉由影像而取得；容許値算出裝置，係由前述外形資 料與前述輪廓資料算出容許値；記憶裝置，爲記憶作爲基 -12- 581983 準之紙張類之輪廓基礎資料；比較裝置，爲基於將前述輪 廓資料與前述輪廓基礎資料，藉由前述容許値算出裝置算 出之容許値來進行比較；確定裝置，係由前述比較裝置之 比較結果，而至少確定紙張類之張數。 在此，所謂的容許値係爲，與輪廓資料作爲基準之紙張 類的輪廓基礎資料進行比較、以確定紙張類之張數時，若 在形成爲基準之紙張類的輪廓資料與輪廓基礎資料中與已 附加有容許値之間裡具有輪廓資料時，可判斷該輪廓基礎 資料爲呈一致，且作爲容許範圍之値來使用的數値。 藉此，依據藉由影像資料取得裝置所取得之外形資料而 算出之容許値，與輪廓基礎資料進行比較、確定張數，因 此可更加正確地確定紙張類之張數。 再者，於其他發明中，係爲一種紙張類確定裝置，其特 徵在於具備有：厚度感測器，爲將檢測出通過搬送路徑之 紙張類之厚度的多數厚度檢測元件，跨越該搬送路徑之全 寬而配列；輪廓抽出裝置，係由在各厚度檢測元件於每次 檢測出之檢測波形中，抽出表示通過搬送路徑之紙張類之 外形形狀的輪廓資料；記憶裝置，爲記憶作爲基準之紙張 類之輪廓基礎資料；彎折檢測裝置，係由前述輪廓資料檢 測出所搬送之紙張類之彎折；比較裝置，係爲當前述彎折 檢測裝置檢測出具有彎折情況時，由前述輪廓資料，而作 成展開前述已檢測出之彎折的展開資料，並與前述輪廓資 料進行比較；確定裝置，係由前述比較裝置之比較結果， 而至少確定紙張類之張數。 -13· 581983 在此，所謂的展開彎折係爲，針對檢測出具有彎折的部 分’係以線對稱的圖型折返而作成資料。 藉此，即使在已彎折之紙張類中，係由已展開之資料來 得知原始狀態。因此，可確實地確定張數。 【實施方式】 本發明之一實施例係依據以下圖面來進行說明。 第1圖所示係內藏於ATM中之紙幣處理裝置1 1，此種 紙幣處理裝置11係在裝置本體12之上位側上設有搬送處 理紙幣之紙幣搬送群1 3，且於下部側上設有容許收容、送 出紙幣之紙幣收容群14，並將裝置本體12之上下分離構 成爲搬送系統與收容系統。 上部側之紙幣搬送群1 3係爲，在裝置本體1 2之上部爲 具有送鈔吐鈔口 1 5，將被投入至該送鈔吐鈔口 1 5之紙幣 導入至配設在上部中間位置之識別部1 6，且識別真僞、幣 値種類、張數、表裏後，便導入至暫時保留部17而暫時保 留。當識別出該已收取之紙幣爲呈背面之搬送狀態的情況 下，爲導入至表裏反轉部18而使表裏齊備後導入至暫時保 留部1 7，再者，當判度爲識別不良的情況下，係導入至退 還保留部1 9而暫時保留後，便朝原先之送鈔吐鈔口 1 5退 還。並且，由暫時保留部1 7選擇在運用上最佳的收容時間 點而收容至下部側之紙幣收容部群1 4中。 另一方面，下部側之紙幣收容群14係爲，由所固定設 置之第1至第3堆疊部（stacker)Sl〜S3、容許著脫之運用 匣C1以及回收匣C2所構成。其中，第1至第3堆疊部S1 -14- 581983 〜S 3係具備有紙幣之積聚機能與送出機能，且將一萬元、 一千元、五千元之三種幣値種類藉由幣値種類別而進行收 容，在送出時則由任意的堆疊部S 1〜S 3 —張張地送出、導 入至識別部1 6，並開始確認幣値種類而搬送至送鈔吐鈔口 15 ° 此外，運用匣C 1係爲，在營業開始時或紙幣補充時將 紙幣分配收容至各堆疊部S 1〜S 3，當營業結束時或過滿 時，便由各堆疊部S 1〜S 3回收紙幣。此外，回收匣C 2係 爲，回收在送鈔吐鈔時或補充處理時所發生之識別不良的 紙幣與忘了取回之紙幣等不良紙幣。 不過，在上述搬送途中之識別部16中，係具備有後述 之紙幣確認裝置，係爲即使紙幣爲以不佳的狀態下進行搬 送，仍可確認於該時之通過張數爲幾張、幣値種類爲何。 第2圖所示係爲上述之紙幣確定裝置2 1，此種紙幣確定 裝置2 1係例如爲在識別部1 6之識別搬送路徑22上，配設 有如第2圖（A)所示之一維之CCD影像感測器23與厚度感 測器24，且構成爲將所搬送之紙幣A以2種種類之檢測裝 置進行讀取。 上述之識別搬送路徑22係如第2圖（B)所示，爲驅動對 向於被架設在搬送寬度方向上下的搬送輥輪Rl、R2,在此’ 將被導入至橫長之水平狀態的紙幣A —張張地朝後段夾持 搬送。此時的搬送輥輪Rl、R2之驅動係被傳達有來自於 未圖示之搬送馬達的旋轉力、且以一定速度進行旋轉。 CCD影像感測器23係爲，沿著上述之搬送輥輪Rl、R2 - 15- 581983 而被配設於跨越搬送寬度方向之全寬，且藉由影像而取得 通過於此之紙幣外型資料。 厚度感測器24係爲，在識別搬送路徑22之搬送寬度方 向上，爲了提昇解析度而將橫跨全寬之多數厚度檢測元件 2 5以一列、且無間隙地密集配列於搬送上面側，在對向之 搬送下面側方面，係同樣地對設有跨越搬送寬度方向之全 寬的感測器對應輥輪R3。在如此所對設之上面側的厚度檢 測元件25與下面側之感測器對應輥輪R3之間的上下對向 面間，當紙幣A由水平方向引導、通過時，進行該紙幣A 之厚度的檢測動作。 第3圖所示係爲構成厚度感測器24之1個厚度感測元 件25之內部構造，第3圖（A)係表示厚度感測元件25之正 面斷面圖，第3圖（B)係表示厚度檢測元件25之側面斷面 圖。 各厚度檢測元件25係爲，在插座本體31之下部，將以 螺旋彈簧32彈推、安裝於下方的T型可動金屬片33由插 座本體31之下面彈推突出設置，在上部方面則將內藏有磁 氣線圈34之輸出端子35由插座本體31之上面突出，輸出 端子3 5爲被連接至控制部。 上述之厚度檢測元件25爲具有近端感測器之檢測構造， 其檢測動作係爲，可動金屬片3 3爲藉由螺旋彈簧3 2之上 下方向的伸縮作用而進行上下動作，在紙幣A通過時僅將 紙幣厚度之份量、而使可動金屬片3 3朝上方強壓。此種強 壓而變位時之機械性的變位量，係以被配設在插座本體31 -16 - 581983 之上部的磁氣線圈34而被轉換（藉由可動金屬片33與磁氣 線圈34之間的間隔變化）成電壓變化、且作爲電氣性之厚 度檢測信號而由輸出端子3 5輸出。 第4圖所示係爲，放大厚度感測器24，其多數之厚度檢 測元件25爲以一定間隔而密集安裝在細長的插座本體3 1 上、且呈直線性的配列狀態，第4圖（A)所示係爲輸出端子 35之配列狀態平面圖，第4圖（B)所表示之側面圖爲揭示 可動金屬片3 3之配列狀態。 在使用上述厚度感測器24之情況下，藉由跨越識別搬 送路徑22之搬送寬度方向之全寬所配列之多數厚度感測元 件25，而將全寬之厚度資料進行細分化、亦可進行檢測。 因此，可呈高精度的檢測搬送寬度方向之全區域，而正確 的捕捉到通過厚度感測器24之位置的紙幣A之整體厚度 \ 分布狀態。藉此，形成可抽出後述之立體性的輪廓。 第5圖所示係爲紙幣確定裝置21之控制電路方塊圖， 此種控制電路係由被連接至厚度感測器24之輪廓抽出部 51、被連接至CCD影像感測器23之容許値算出部52、體 積演算部53、記憶部54、輪廓比較部55、以及確定部56 所構成。 在上述之輪廓抽出部51中，在每個構成厚度感測器24 之各厚度檢測元件2 5中，係可獲得已檢測出之紙幣A之 搬送寬度方向之已細分化之厚度資料，由此種已細分化之 厚度資料來抽出表示紙幣之外形形狀的輪廓資料。 第6圖所示係每次於厚度檢測元件25中檢測而出之檢 -17- 581983 測波形例，爲連同紙幣之搬送而由各厚度檢測元件25輸出 已因應紙幣厚度之作爲輸出電壓之時間性的變化之檢測波 形。 例如，如第6圖（A)所示，當相同尺寸之2張紙幣A1、 A2爲以傾斜偏移之狀態下所重疊搬送（帶出搬送）時，由厚 度感測器24之各厚度檢測元件25所檢測出之輸出波形， 係於搬送寬度方向中獲得1張檢測波形W1與2張檢測波 形W2。而可由該等波形資料正確的抽出發生有重疊搬送之 事、以及具有傾斜偏移之重疊狀態。 同樣的，如第6圖（B)所示，當尺寸不同之2張紙幣A3、 A4爲以重疊呈1張之狀態下進行重疊搬送時，由厚度感測 器24之各厚度檢測元件25所檢測出之輸出波形，係於搬 送寬度方向中獲得1張檢測波形W3與2張檢測波形W4。 在此情況下，亦可由波形資料正確的抽出發生有重疊搬送 之事、以及具有不同尺寸之形成2張重疊狀態。 第7圖所示係爲紙幣之輪廓抽出例，針對以第6圖（A) 所述之相同尺寸的2張紙幣A1、A2爲以傾斜偏移之狀態 下所重疊搬送之情況下的紙幣之輪廓抽出處理來進行說 明。 在獲得由該已重疊搬送時之各厚度檢測元件2 5之波形 資料時，來自該波形資料係如第7圖（A)所示而結合波形資 料，將各厚度檢測元件25間之資料以直線進行互補處理而 產生立體圖形7 1。將該立體圖形7 1之頂點（角部）以直線連 結，如第7圖（B)所示，抽出已重疊搬送之紙幣的輪廓。 -18 - 581983 第8圖所示係爲其他情況之紙幣的輪廓抽出例，爲針對 以第6圖（B)所述之不同尺寸的2張紙幣A3、A4爲以重疊 呈1張之狀態下進行重疊搬送之情況下的紙幣之輪廓抽出 處理來進行說明。 在獲得由該已重疊搬送時之波形資料時，由該波形資料 係如第8圖（A)所示，爲結合來自各厚度檢測元件25之波 形資料，將各厚度檢測元件25間之資料以直線進行互補處 理而產生立體圖形8 1。將該立體圖形8 1之頂點以直線連 結而抽出已重疊搬送之紙幣的輪廓。 鲁 上述之波形資料之互補處理係爲，當厚度感測器本體之 解析度（與多數之厚度感測器元件25之配列間隔成比例）爲 數毫米的情況下，將檢測元件間之資料進行直線互補補充， 而求得精度爲佳之立體性的輪廓。在此情況下，厚度檢測 元件2 5之間隔越密則解析度形成越高，倘若設定爲較細時 則形成爲無互補之必要。 另一方面，在容許値算出部52中，在進行輪廓資料與 $ 記憶部54之輪廓基礎資料之間的比較時，若在輪廓基礎資 料以及將容許値施加於輪廓基礎資料之資料之間具有輪廓 資料時，係可判斷與該輪廓基礎資料相一致，而作爲容許 範圍以計算出容許値。 在此，由以CCD影像感測器23所取得之紙幣影像之外 形資料、以及上述之輪廓資料之間的差分來計算出容許値。 如此，例如即使在厚度感測器本體之解析度爲較低的情 況下，因由解析度較高之影像之外形資料之間的差分來算 -19- 581983 出容許値，且依據該容許値來進行與輪廓基礎資料之間的 比較，因此，可更加精度爲高地進行張數確定、幣値種類。 第9圖所示係爲由C C D影像感測器2 3之影像資料取得 例，當將相同尺寸之2張紙幣A1、A2以傾斜偏移狀態而 進行重疊搬送時，C C D影像感測器2 3係取得已重疊之紙 幣的影像資料91，進行該影像資料91之2進位化（digitalize) 處理而決定紙幣之外形。在此種決定之際，由影像資料91 係可看出紙幣之四角形之角，藉此而可決定紙幣之外形。 容許値之算出係爲，容許値算出部5 2爲進行算出影像 資料（外形資料）與前述之輪廓資料之間的差。例如，爲由 厚度感測器而使CCD影像感測器之影像資料這一方爲了提 高解析度，而使其進行與影像資料及輪廓資料之雙方資料 的對照。 計算出來自CCD影像感測器之影像資料的外形資料與來 自厚度感測器之輪廓資料之間的差分（厚度感測器資料-影 像資料）之結果，當在紙幣長邊方向上例如爲2mm之差分 的情況下，將輪廓資料與位於記憶部54中之輪廓基礎資料 進行比較時，爲將2mm之容許値施加於輪廓基礎資料之紙 幣長邊方向且進行比較。 具體而言，在輪廓資料中，紙幣長邊方向爲抽出121mm， 而在影像資料中則紙幣長邊方向爲抽出1 1 9mm之情況下’ 容許値係被算出爲121— 119 = 2 mm。因此，在進行與輪廓 基礎資料（120mm)之比較時，施加容許値 2mm，倘若在 1 2 0 m m〜1 2 2 m m之範圍內時，則判別爲與輪廓基礎資料相 -20- 581983 合一致之幣値種類。 再者，在體積演算部53中，藉由將已算出由厚度資料 與輪廓資料所獲得之已搬送之紙幣之立體性資料的體積、 以及以記憶部54所記憶之體積基礎資料進行比較，而可正 確的辨識紙幣之張數或幣値種類。 在記憶部54中，爲記憶有於各幣値種類別之流通紙幣 中所訂定之縱橫的長度、由體積等基準所形成之輪廓基礎 資料、以及體積基礎資料。 例如，當所搬送利用之幣値種類爲2種幣値種類的情況 下，將以橫長所搬送之A幣値種類之厚度設爲0.1mm、縱 橫之長度設爲70mmx 120mm後，體積便形成840mm3。此 外，將B幣値種類之厚度設爲0.1mm、縱橫之長度設爲60mm X 110mm後，體積便形成660mm3。而將其雙方記憶成判定 基準用。 在輪廓比較部5 5中，爲比較實際檢測出之輪廓資料、 以及以記憶部5 4所記憶之輪廓基礎資料，來進行紙幣之判 別處理。 第1 0圖所示係爲紙幣之判別處理例，如第1 0圖（A)及 第1 0圖（B)所示，由以厚度檢測器24而取得之檢測波形來 抽出紙幣之輪廓資料。且比較此種已抽出之輪廓資料以及 被記憶在記憶部5 4中之輪廓基礎資料。 其結果係如第1 〇圖（C)所示，求得被記憶在記億部54 之2張A幣値種類、以及被記憶在記憶部54之不同尺寸 之四角形（50mm X 100mm)。從而，不同尺寸之四角形係可 -21 - 581983 判別爲無效之資料。 第1 1圖所示係爲其他之紙幣判別處理例，如第1 1圖（A) 與第11圖（B)所示，由以厚度感測器24而取得之檢測波形 來抽出紙幣之輪廓資料。且比較此種已抽出之輪廓資料以 及被記憶在記憶部54中之輪廓基礎資料。 其結果係如第Π圖（C)所示，求得被記憶在記憶部54之 A幣値種類與B幣値種類之相同尺寸的四角形。藉此，可 判別重疊搬送有2張不同幣値種類之狀態。 在確定部56中，爲將以體積演算部53所演算之紙幣的 體積資料、以及以輪廓比較部5 5所比較之比較結果進行對 照。此時，若在誤差範圍內時，爲確定該紙幣之張數與幣 値種類。 例如，如以第1 〇圖所述，在發生相同尺寸之紙幣連續 送出時，在進行確定張數或幣値種類時，爲判定已求出2 張之A幣値種類之資料、以及由體積演算部53所演算之 體積是否爲在840mm3x 2土體積容許値之範圍內。此時， 若爲在誤差範圍內（容續範圍內）之値時，則可確定A幣値 種類之2張連續送出狀態。 同樣地，如以第1 1圖所示，在發生不同尺寸之紙幣連 續送出時，在進行確定張數或幣値種類時，爲判定已求出 A幣値種類與B幣値種類之資料、以及由體積演算部5 3所 演算之體積是否爲在8 4 0mm3 + 66 Omm3±體積容許値之範圍 內。此時，若爲在誤差範圍內之値時，則可確定A幣値種 類與B幣値種類之2張連續送出狀態。 -22- 581983 再者，在進行確定時，無論是體積及輪廓之任一方的資 料，係可進行某種程度之張數預測，不過，係以利用2個 資料者爲可更加提昇確定精度。再者，即使在傾斜爲形成 較大的情況下，由跨越搬送路徑之全寬而配列之厚度感測 器的厚度資料，爲可抽出表示紙幣之外形形狀的輪廓資料， 因此，形成可精度爲佳地進行張數確定與幣値種類確定。 第1 2圖所示係爲搬送有彎折紙幣之情況下的檢測例， 如第12圖（A)所示，在搬送折角a狀態之紙幣時，爲以CCD 影像感測器23讀取此種紙幣之影像。 ® 在已讀取之CCD影像感測器23中，係如第12圖（B)所 示，獲得具有折角形狀之非四角形的影像資料1 2 1。 此外，在厚度感測器24中，係如第12圖（C)所示，獲 得具有折角形狀之非四角形的輪廓資料1 22。 並且，在輪廓抽出部5 1中，在抽出具有折角之輪廓資 料122時，如第12圖（D)所示，將輪廓資料之折角a部分 沿著輪廓而展開。藉由將此種展開資料與輪廓基礎資料藉 $ 由輪廓比較部5 5進行比較而可進行對照確認。 在該輪廓比較部5 5中，非爲四角形之輪廓資料1 2 2係 無法與記憶部54之輪廓基礎資料進行對照確認，此外於圖 中’係可檢測出右上之折角三角形部分之厚度爲形成2倍 而產生之折角。在此情況下，藉由進行如後述之展開而作 成展開資料。其結果，在確定部5 6中，即使搬送有折角紙 幣亦可正確地確定張數與幣値種類。 第13圖所示係爲上述之折角紙幣的展開演釋法 -23- 581983 (a 1 g 〇 r i t h m )，爲求出此時之各頂點編5虎與連結邊之數目。 在此情況下，因折角紙幣之頂點（角部）爲具有6個’因 此於該頂點上附加1〜6之編號’在進行行列表示（頂點編 號、邊數）後，便形成下列結果。 (1，2) (2，2) (3，3):可於邊數3進行折返 (4，2) (5，3):可於邊數3進行折返 (6，2) 其結果，因可於邊數3之位置進行折返（在第13圖中係 可於頂點編號3與5之位置進行折返），由上述之厚度資料 來看，因右上之三角各邊爲形成厚度2之邊、以及由輪廓 資料進行展開的情況下，因輪廓爲相當於形成四角形之條 件，故而決定折角部之折返位置。 當無對應於上述之邊數3之2個頂點的情況下、或是具 有4以上之頂點的情況下，爲判斷於紙幣具有重疊之情形。 使用如此所構成之紙幣確定裝置2 1，將確定紙幣之張數 與幣値種類之情況的處理動作，參照第1 4圖之流程圖來進 行說明。 當紙幣通過識別搬送路徑2 2時，便以厚度檢測器2 4檢 測出該通過之紙幣厚度，此外，以CCD影像感測器23取 得紙幣之影像（步驟nl)。 在上述厚度感測器24之各厚度檢測元件25於每次檢測 -24- 581983 出之檢測波形中’將表示紙幣之外形形狀之輪廓資料以輪 廓抽出部5 1抽出（步驟η2)。 此外，在容許値算出部52中，由以CCD影像感測器23 取得之紙幣影像所求得之外形資料、以及以上述輪廓抽出 部5 1所抽出之輪廓資料之間的差分來算出容許値（步驟 η3 ) 〇 將取入有已算出之容許値的輪廓基礎資料與輪廓資料以 輪廓比較部5 5進行比較（步驟η 4)。 此時，藉由輪廓比較5 5而由比較結果來判定是否在紙 幣上產生有彎折。（步驟ιι5)。 當判定無紙幣彎折的情況時，推定幣値種類與張數（步 驟 η6)。 此外，藉由體積演算部5 3而由厚度資料與輪廓資料求 得體積（步驟η7)。 由將該已求得之體積與被記憶在記憶部54之體積基礎 資料進行比較的比較結果，藉由確定部56判定體積是否在 容許範圍內（步驟η8)。 此時，若是在容許範圍內時便判定爲可確定之紙幣，且 確定該幣値種類與張數（步驟η9)。 不過，在上述步驟η8中判定爲在容許範圍外的情況下， 因無法確定而進行不良（reject)處理。 此外，即使在上述之步驟n5中判定爲具有彎折的情況 下，當判定爲無法將彎折部分展開之資料的情況下爲進行 不良處理。 -25- 581983 不過，在上述步驟n5中，即使判定具有彎折，若是爲 胃將該彎折部分以線對稱圖形進行折返、而具有可展開之 胃料時（步驟η 1 0)，便作成展開紙幣彎折之展開資料，換算 成無彎折之正規的紙幣而進行資料處理。之後，便進行前 述之步驟η6以後之處理，實行紙幣之幣値種類與張數之確 定（步驟nl 1)。 如此’藉由厚度感測器24而將識別搬送路徑22之搬送 寬度方向之全寬以多數之厚度感元件25進行細分化、且檢 測全寬之厚度資料，因此可呈高精度的檢測搬送寬度方向 之全區域。 並且，由該厚度資料抽出表示紙幣之外形形狀的輪廓資 料，藉此而可正確的捕捉到紙幣之立體性的輪廓。因此， 即使無影像資料，亦可正確地確定紙幣之張數與幣値種類。 再者，即使在如第1 8圖所示之具有完全被遮蓋住之紙 幣爲被連續搬送而出時，係可由紙幣之立體性的資料來正 確地確定紙幣之張數與價値種類。 如上所述，若將紙幣確定裝置組裝於送出紙幣的 ATM 之識別部時，該紙幣確定裝置便會藉由被配設呈跨越搬送 路徑之搬送寬度方向之全寬的多數厚度檢測元件，來將全 寬之厚度資料進行細分化、檢測，因此，可高精度的檢測 搬送寬度方向之全區域，無論是傾斜搬送均可正確的捕捉 到紙幣。因此，將無未通過與誤判之虞，而可進行信賴度 較高之計數管理。 此外，縱使無影像資料，亦可正確地確定紙幣之張數與 -26- 581983 幣別種類，即使在如第1 8圖所示之具有完全被遮蓋住之紙 幣爲被連續搬送而出時，因可由依據高精度之厚度資料而 獲得紙幣之立體性的資料，故而可正確地確定紙幣之張數 與幣別種類。 在本發明之構造與上述一實施例之構造進行對應中，本 發明之紙張類確定裝置係爲，對應於實施例之紙幣確定裝 置2 1，以下係相同的，輸送路徑係對應於識別搬送路徑22， 紙張類係對應於紙幣A、A1、A 2、A 3、A 4，輪廓抽出裝置 係對應於輪廓抽出部5 1，記億裝置係對應於記憶部54，比 較裝置與彎折檢測裝置係對應於輪廓比較部55,確定裝置 係對應於確定部56，影像資料取得裝置係對應於CCD影 像感測器23，容許値算出裝置係對應於容許値算出部52， 即使如此，本發明係可基於申請專利範圍所示之技術思想 來進行應用，並非爲僅限定在上述一實施例之構造中。 〔發明之效果〕 若藉由本發明時，則由厚度感測器之檢測波形來取得紙 張類之立體性的輪廓，藉此，可以高精度來進行信賴度較 高之紙張類搬送張數之確定以及紙張類之種別確定。 【圖式簡單說明】 第1圖所示內藏於ATM中之紙幣處理裝置之內部構成 圖。 第2圖之（A)、（B)所示係爲紙幣確定裝置之槪略構成圖。 第3圖之（A)、（B)所示係爲厚度檢測元件之內部構造的 縱剖面圖。 -27- 581983 第4圖之（A )、（ B )所示係爲厚度感測器之外觀圖。 第5圖所示係爲紙幣確定裝置之控制電路方塊圖。 第6圖之（A)、（B)所示係爲輪廓資料之抽出例的說明圖。 第7圖之（A )、（ B )所示係爲紙幣之1^體性的輪廓抽出例 之說明圖。 第8圖之（A )、（ B)所示係爲其他紙幣之1體性輪廓抽出 例之說明圖。 第9圖所示係由C C D影像感測器之影像資料取得例之說 明圖。 第10圖之（A)〜（C)所示係爲紙幣之判別處理例之說明 圖。 第1 1圖之（A)〜（C )所示係爲其他紙幣之判別處理例之說 明圖。 第12圖之（A)〜（D)所示係爲彎折紙幣之判別處理例之說 明圖。 第1 3圖所示係爲彎摺紙閉之展開演釋之說明圖。 第14圖所示係爲紙幣確定裝置之處理動作之流程圖。 第1 5圖之（A )、（ B )所示係爲習知之紙張類之搬送檢測構 造的搬送說明圖。 第1 6圖之（A )、（ B )所示係爲習知之紙張類之大傾斜時之 搬送檢測例的搬送說明圖。 第17圖所示係爲習知之紙張類之誤計數之例的搬送說 明圖。 第18圖所示係爲將習知之紙幣完全遮蔽之搬送狀態的 -28 - 581983 搬送說明圖。 【主要部分之代表符號說明】 1 6 :識別部 2 1 :紙幣確定裝置 23 : CCD影像感測器 24 :厚度感測器 5 1 ·輪廊抽出部 5 2 :容許値算出部 54 :記憶部 5 5 :輪廓比較部 5 6 :確定部581983 :: 二 _ 厂, //: 玖, description of the invention (the description of the invention should state: the technical field, the prior art, the content, the embodiments, and the drawings of the invention are briefly explained) [Technical field to which the invention belongs] The present invention is A paper confirmation method, especially suitable for automatic teller machines (ATMs), vending machines, etc. More specifically, it relates to a paper confirmation device, even if paper stacks are transported and tilted (inclined) , Bending, damage, etc., can also correctly determine the number and type. [Prior art] Generally, the paper conveying path for conveying paper such as banknotes, marketable securities, prescribed paper, and cards is a combination of conveying members such as conveying rollers and conveyor belts. Structure for holding and conveying. As a device for detecting the number of sheets of paper conveyed on this conveying path, for example, the device described in Patent Document 1 (Japanese Patent Laid-Open No. 200 1-266 1 05), which has been previously filed, is known. As shown in Figure 15 (A), this type of device has a detection area (3 tracks) that divides the width of the conveyance into three parts during the conveyance of the paper 152 that has been introduced into the conveyance path 151. 1 5 3 a, 1 5 3 b, 1 5 3 c. In addition, the detection signals are confirmed based on the detection signals of the first to third thickness sensors 154a, 154b, and 154c provided for the divided tracks, and data from an image scanner (not shown) to confirm the detection. The conveyance status of paper or the number of sheets at the time of conveyance. However, as shown in FIG. 15 (B), as this detection method, each of the thickness data (integral value) of each of the thickness sensors 154a, ... that has passed through the portion of the paper sheet 152 is calculated. Amount of thickness per scan. And the number of sheets is estimated from the amount of sensing data of each thickness sensor 154a ... In particular, all the sensing data of each detection area of the three tracks 153a, i53b, and i53c are set as the number-of-sheets determination condition. Therefore, only when the number of sheets in the full track is consistent, it is recognized that one sheet of paper has been conveyed 152 ° However, as shown in FIG. 16 (A), when the sheet of paper 152 is large on the conveying path 151 In the case of a large inclination, the paper sheet 152 having such a large inclination is formed to pass only the portion of the first and second tracks 153a and 153b, and not to pass the portion of the third track 1 5 3c. In this case, even if the first and second thickness detectors 154a and 154b that detect the positions of the first and second tracks 1 5 3 a and 1 5 3 b are checked and confirmed, the position of the third track 153 c is detected. The third thickness sensor 154c cannot be detected. As a result, although one sheet has passed, the number of sheets cannot be determined, and there is a risk of calculation errors. Further, as shown in FIG. 16 (B), there is a case where the number of sheets of paper 152 can be determined by 2/3 track copies (for example, the first track 153a and the second track 153b). In this case, as indicated by the imaginary line and dashed line in the figure, it can be judged that only the 1/3 track (third track 1 5 3 0) left by the paper 152a is left. Therefore, there is a possibility of identification error. As a result, calculation errors may occur. In addition, as shown in FIG. 17, even when the paper sheet 1 5 2 is inclined and passes through the entire area of 3 tracks 1 5 3 a to 1 5 3 c, When it is tilted greatly, it is difficult for the paper edge to contact the end track, and in the center track and the end track, the amount of sensor data in each track is 1 5 5 a, 1 5 5 b, 1 5 5 c The difference between 581983 and 581983 was generated. Therefore, one piece was detected by the sensing data amounts of 15 5 a and 15 5 c at both ends, and two pieces were detected by the central sensing data amount of 1 5 5 b. As a result, it is impossible to determine the number of sheets and the cause of the detection error. As another example, it is known that, for example, as described in Patent Document 2 (Japanese Patent Laid-Open No. 5-46842), there are known Thickness detection mechanism and image detection mechanism transport media. With this device, even during transport In the case where the oblique behavior is severe, or when there are multiple sheets overlapping, the type or number of sheets can also be determined. That is, the paper pattern is read by an image detection mechanism such as an image reader. The pattern and shape are confirmed by the output of the thickness detection mechanism to check whether there is any overlap. After that, the paper pattern is extracted from the removed shape to determine the size and number of sheets. In this case For the thickness detection system, only the investigation is carried out to see if it is in an overlapping state, and the external shape is read by the image detection mechanism. In addition, the image detection system is formed in the image data when the transport media cannot be obtained In the case of external shape information, it is not possible to judge. For example, if the corner of the outer shape is not clear when judging a banknote, it is difficult to confirm the corner because of the corner. As a result, it is impossible to determine the number of sheets or The problem of the type of currency. Specifically, when the banknotes are completely covered as shown in FIG. The number or the type of currency is determined. In addition, although it is known to have, for example, the same device as described in Patent Document 3 (Japanese Patent Laid-Open No. 7_14 · 1547), it is also determined only by thickness detection It is inferred that several banknotes are formed to overlap and are being transported. 581983 The reading of the external shape is performed by a 1-dimensional array of optical line sensors. Therefore, when the shape of the outer corner of the transport medium is not clear, In the case where the banknote 1 1 is completely covered as shown in Fig. 18, the number of sheets or the type of currency can not be determined in the same manner. Moreover, although a corner detection is disclosed, that is, for the whole The overall image of the overlapping banknotes is conveyed by the morphological image, and the overlapping state of the overlapping banknotes is analyzed. When the image is not consistent with the entire image *, it is set to have a folded banknote, and other features are not disclosed. * [Contents of the Invention] @ [Problems to be Solved by the Invention] Here, the object of the present invention is to provide a paper confirmation device, which is used to convey paper in a poor conveyance state such as overlapping conveyance or oblique conveyance, and paper. When the paper itself is in various states caused by bending, cracking, damage, etc., the number or type of sheets can also be accurately determined. [Means for Solving the Problems] The present invention is a paper sheet determining device, which is provided with: a thickness sensor, which is a plurality of thickness detection elements that detect the thickness of the paper sheet passing through the conveyance path, and spans the conveyance. The full width of the path is arranged; the contour extraction device extracts the contour data representing the outer shape of the paper passing through the conveyance path from each detection waveform detected by each thickness detection element; The basic outline data of the base paper; the comparison device is used to compare the outline data extracted by the aforementioned outline extraction device and the outline basic data stored in the aforementioned memory device; the determination device is used for comparison by the aforementioned comparison device As a result, at least -10- 581983 determines the number of sheets of paper. Here, the so-called paper is a general term for banknotes, securities, prescribed paper, cards, and the like. As a result, by comparing the outline data representing the outer shape of the paper sheet and the entire length across the width direction of the conveyance and obtained from the actually detected detection waveform, and the basic data of the outline stored in the memory device, it is possible to compare Make sure that the type of paper to be conveyed is the number of sheets that have been conveyed in one sheet or overlaid. In particular, the thickness detector is a plurality of thickness detectors that can be arranged across the full width in the conveying width direction of the paper conveying path, and the thickness data of the full width is subdivided and detected. Therefore, the entire area in the width direction of the conveyance can be detected with high accuracy. By extracting the contour data from these extracted waveforms, the shape of the passing paper can be accurately captured. In addition, the thickness data and contour data are used to clearly distinguish the thickness distribution status of the paper sheet and the conveying device, which can confirm the number of sheets with high accuracy. Therefore, it is assumed that when the thickness of two copies has been detected, it can be judged whether the portion is in a bent state or in an overlapped conveying state. In addition, even if the corners of the paper sheets extracted by the contour extraction device are not clear, since the three-dimensional data of the paper sheets with added thickness data is obtained, the overlapping state can be clarified, and the paper sheets can be correctly identified. Number of sheets. Therefore, even if the paper sheets are conveyed obliquely, or the paper sheets in the folded or damaged state are conveyed, one sheet conveyance or heavy conveyance can be surely determined. Therefore, there is no risk of miscalculating the number of sheets, and counting management with extremely high reliability can be performed. Furthermore, in another invention, it is a paper sheet determining device, which is characterized by being provided with a thickness sensor, which is a plurality of thickness detection elements that detect the thickness of the paper sheet passing through the conveyance path and spans the conveyance path. The full width is arranged; the contour extraction device extracts the contour data representing the outer shape of the paper through the conveying path from the detection waveforms of each thickness detection element at each detection; the billion-memory device is used as a reference for memory Paper-based contour basic data; a comparison device for comparing the contour data extracted by the aforementioned contour extraction device and the contour basic data stored in the aforementioned memory device; the determination device is the comparison result of the aforementioned comparison device, At least identify the type of paper. This makes it possible to accurately determine the type of paper from the obtained data even when the paper has been conveyed in a poor conveyance state such as overlapping or oblique conveyance. In addition, in another invention, it is a paper sheet determining device, which is characterized in that it is provided with a thickness sensor, which is a thickness detection element that detects the thickness of a sheet of paper that has passed through a conveyance path, and spans the whole of the conveyance path. Wide and aligned; the contour extraction device extracts the contour data representing the outer shape of the paper through the conveying path from the detection waveform of each thickness detection element at each detection; the image data acquisition device is located opposite to the aforementioned On the conveying path, during the conveying process of the conveying path, the paper shape is obtained from the image; the allowance calculation device calculates the allowance from the aforementioned outline data and the outline data; the memory device is based on the memory- 12- 581983 Standard basic profile data for paper; comparison device for comparing the above outline data and the above outline basic data with the allowance calculated by the allowance calculation device; the determination device is made by the comparison device Compare the results and at least determine the number of sheets. Here, the so-called permissible system is to compare the contour data of the paper with the contour data as the reference to determine the number of sheets. When there is contour data between the allowable frame and the allowable frame, the contour basic data can be judged to be the same and used as the range of the allowable range. In this way, based on the allowable margin calculated by the profile data obtained by the image data acquisition device, the number of sheets can be determined more accurately by comparing with the contour basic data to determine the number of sheets. Furthermore, in another invention, it is a paper sheet determining device, which is characterized by being provided with a thickness sensor, which is a plurality of thickness detection elements that detect the thickness of the paper sheet passing through the conveyance path and spans the conveyance path. Lines are arranged in full width; the contour extraction device extracts the contour data representing the outer shape of the paper passing through the conveying path from each detection waveform of each thickness detection element; the memory device is the paper used as a reference for memory Basic profile data of the class; Bend detection device, which detects the bending of the paper sheet being transported from the aforementioned profile data; Comparison device, which is based on the aforementioned profile data when the aforementioned bend detection device detects that there is a bend, The developed unfolding data for unfolding the previously detected bends is prepared and compared with the aforementioned outline data; the determining device is at least the number of sheets of paper based on the comparison result of the aforementioned comparing device. -13. 581983 Here, the so-called unfolded bending system is a method of folding back a line-symmetrical pattern for a portion where a bending is detected 'to generate data. With this, even in the folded paper, the original state is obtained from the expanded data. Therefore, the number of sheets can be reliably determined. [Embodiment] An embodiment of the present invention is described based on the following drawings. Figure 1 shows a banknote processing device 11 built in an ATM. This banknote processing device 11 is provided with a banknote transfer group 1 3 for processing banknotes on the upper side of the device body 12, and on the lower side. A banknote storage group 14 is provided to allow storage and delivery of banknotes, and the main body 12 of the device is separated from top to bottom to constitute a transport system and a storage system. The banknote conveyance group 1 3 on the upper side is provided with a banknote delivery port 15 on the upper part of the device body 12, and the banknotes inserted into the banknote delivery port 15 are introduced into the upper middle position. After the identification unit 16 recognizes the authenticity, the type of currency, the number of sheets, and the front and back, it is introduced into the temporary retention unit 17 and temporarily retained. When the collected banknotes are recognized as being transported on the back side, the front and back parts are introduced to the front and back reversing part 18, and then the front and back parts are introduced into the temporary holding part 17. Furthermore, when the judgment is that the recognition is poor Next, it is introduced into the return retention section 19 and temporarily retained, and then returned to the original banknote delivery port 15. In addition, the temporary storage unit 17 selects the storage time point that is optimal for use and stores it in the banknote storage unit group 14 on the lower side. On the other hand, the banknote storage group 14 on the lower side is composed of the first to third stackers S1 to S3 which are fixedly installed, and an application cassette C1 and a collection cassette C2 which are allowed to be removed. Among them, the first to third stacking sections S1 -14- 581983 to S 3 are equipped with the function of accumulating and sending out banknotes, and use three types of currency: ten thousand yuan, one thousand yuan, and five thousand yuan. They are stored in various types, and when they are sent out, they are sent out from any stacking section S 1 to S 3 one by one, introduced to the identification section 16, and the type of coin is started to be transferred to the banknote delivery port 15 ° In addition The use of the cassette C 1 is to distribute and store the banknotes in the stacking sections S 1 to S 3 at the beginning of the business or when the banknotes are replenished. When the business is over or full, the stacking sections S 1 to S 3 are collected. Paper money. The collection box C 2 collects bad banknotes such as misidentified banknotes that have occurred during delivery and replenishment and replenishment, and banknotes that have been forgotten to be retrieved. However, the identification unit 16 in the above-mentioned transportation mode is provided with a banknote confirmation device described later, so that even if the banknotes are transported in a poor state, it can be confirmed that the number of sheets passed at that time is several. What kind of 値? FIG. 2 shows the above-mentioned banknote identification device 21, and such a banknote identification device 21 is, for example, located on the identification conveyance path 22 of the identification section 16 and is provided with one of the items shown in FIG. 2 (A). The dimensional CCD image sensor 23 and the thickness sensor 24 are configured to read the conveyed banknote A with two types of detection devices. The above-mentioned identification conveying path 22 is shown in FIG. 2 (B), and is used to drive the conveying rollers R1 and R2 which are set up and down in the conveying width direction. Banknotes A —Clamped and conveyed towards the back. At this time, the driving system of the conveying rollers R1 and R2 is transmitted with a rotational force from a conveying motor (not shown) and rotates at a constant speed. The CCD image sensor 23 is arranged along the above-mentioned conveying rollers R1, R2-15- 581983 to the full width across the conveying width direction, and acquires the shape data of the banknote passing therethrough through the image. . The thickness sensor 24 is arranged so that most of the thickness detection elements 25 across the full width are arranged in a row on the upper side of the conveyance in a row with no gap in order to improve the resolution in the conveyance width direction of the conveyance path 22, Regarding the lower side of the conveyance to the opposite side, the sensor corresponding to the roller R3 provided with the full width across the conveyance width direction is provided. Between the upper and lower facing surfaces between the thickness detection element 25 provided on the upper side and the corresponding sensor roller R3 on the lower side, when the banknote A is guided and passed in the horizontal direction, the thickness of the banknote A is determined. Detection action. Fig. 3 shows the internal structure of one thickness sensing element 25 constituting the thickness sensor 24. Fig. 3 (A) is a front sectional view of the thickness sensing element 25, and Fig. 3 (B) A side cross-sectional view showing the thickness detection element 25. Each thickness detecting element 25 is such that a lower portion of the socket body 31 is spring-loaded with a coil spring 32, and a T-shaped movable metal piece 33 mounted on the lower side is pushed and protruded from the lower surface of the socket body 31. The output terminal 35 in which the magnetic coil 34 is hidden protrudes from the upper surface of the socket body 31, and the output terminal 35 is connected to the control unit. The thickness detection element 25 described above has a detection structure with a near-end sensor, and its detection action is that the movable metal piece 33 is moved up and down by the expansion and contraction of the coil spring 32 in the up and down direction, and passes through the banknote A. At this time, only the amount of the thickness of the banknote is pressed, and the movable metal piece 33 is pressed upward. The amount of mechanical displacement during such strong pressure and displacement is converted by the magnetic coil 34 disposed on the upper part of the socket body 31 -16-581983 (the movable metal piece 33 and the magnetic coil 34 The interval between them) changes to a voltage, and is output from the output terminal 35 as an electrical thickness detection signal. FIG. 4 shows an enlarged thickness sensor 24, and most of the thickness detecting elements 25 are densely installed at a certain interval on the elongated socket body 3 1 and arranged linearly. FIG. 4 ( A) is a plan view showing the arrangement state of the output terminals 35, and the side view shown in FIG. 4 (B) is a view showing the arrangement state of the movable metal pieces 33. When the thickness sensor 24 is used, the thickness data of the full width can be subdivided by dividing the thickness data of the full width by a plurality of thickness sensing elements 25 arranged across the full width of the conveyance width direction of the identification conveyance path 22. Detection. Therefore, the entire area in the width direction of the conveyance can be detected with high accuracy, and the entire thickness of the banknote A passing through the position of the thickness sensor 24 can be accurately captured. Thereby, a three-dimensional outline which can be extracted later is formed. Fig. 5 is a block diagram of a control circuit of the banknote determination device 21. This control circuit is calculated from the allowable unit 51 connected to the contour extraction portion 51 of the thickness sensor 24 and the CCD image sensor 23. The part 52, the volume calculation part 53, the memory part 54, the outline comparison part 55, and the determination part 56 are comprised. In the above-mentioned contour extraction unit 51, each of the thickness detecting elements 25 constituting the thickness sensor 24 can obtain the subdivided thickness data in the width direction of the detected banknote A, thereby obtaining This type of subdivided thickness data is used to extract contour data representing the outer shape of the banknote. The figure 6 shows an example of the test waveform detected each time by the thickness detection element 25-17-581983. In order to transport the banknotes, the thickness detection element 25 outputs the time corresponding to the thickness of the banknote as the output voltage. Detection of waveform changes. For example, as shown in FIG. 6 (A), when two banknotes A1 and A2 of the same size are overlapped and conveyed in a state of being tilted and shifted (conveyed out), each thickness of the thickness sensor 24 is detected. The output waveform detected by the element 25 is obtained in the conveying width direction by one detection waveform W1 and two detection waveforms W2. In addition, it is possible to accurately extract from such waveform data the occurrence of overlapped transfers and overlapped states with tilt offset. Similarly, as shown in FIG. 6 (B), when two banknotes A3 and A4 of different sizes are overlapped and conveyed in a state of overlapping, each thickness detection element 25 of the thickness sensor 24 is used. The detected output waveforms are obtained as one detection waveform W3 and two detection waveforms W4 in the transport width direction. In this case, it is also possible to accurately extract the waveform data from overlapping data, and to form two overlapping states with different sizes. Figure 7 shows an example of the outline drawing of banknotes. For two banknotes A1 and A2 of the same size as described in Figure 6 (A), the banknotes are stacked in the state of being tilted and shifted. The outline extraction processing will be described. When the waveform data of each thickness detection element 25 during the overlapped conveyance is obtained, the waveform data is combined with the waveform data as shown in FIG. 7 (A), and the data between each thickness detection element 25 is straight-lined. Complementary processing is performed to generate a three-dimensional figure 71. The vertices (corners) of the three-dimensional figure 71 are connected in a straight line, and as shown in Fig. 7 (B), the outline of the banknotes that have been superimposed and conveyed is extracted. -18-581983 Figure 8 shows an example of the outline extraction of banknotes in other cases. It is for a state where two banknotes A3 and A4 of different sizes described in Figure 6 (B) are stacked. A description will be given of the outline extraction processing of the banknotes in the case of the overlapped conveyance. When obtaining the waveform data from the overlapped conveyance, the waveform data is shown in FIG. 8 (A). In order to combine the waveform data from each thickness detection element 25, the data between each thickness detection element 25 is divided into Complementary processing is performed on a straight line to generate a three-dimensional figure 8 1. The vertices of the three-dimensional figure 81 are connected in a straight line to extract the outline of the banknotes that have been superimposed and conveyed. The complementary processing of the above-mentioned waveform data is that when the resolution of the thickness sensor body (which is proportional to the arrangement interval of most thickness sensor elements 25) is several millimeters, the data between the detection elements is processed. Complementary lines complement each other to obtain a three-dimensional contour with excellent accuracy. In this case, the closer the interval between the thickness detection elements 25 is, the higher the resolution is formed, and if it is set to be thinner, it is formed without the necessity of complementarity. On the other hand, in the allowance calculation unit 52, when comparing the outline data with the outline basic data of the memory unit 54, if there is a difference between the outline basic data and the data to which the allowance is applied to the outline basic data, In the profile data, it can be judged that it is consistent with the basic profile data, and the allowable range is calculated as the allowable range. Here, the allowable margin is calculated from the difference between the banknote image external shape data acquired by the CCD image sensor 23 and the above-mentioned contour data. In this way, for example, even when the resolution of the thickness sensor body is low, the allowance is calculated based on the difference between the outer shape data of the image with a higher resolution and -19-581983. The comparison with the outline basic data enables more accurate determination of the number of sheets and the type of currency. Figure 9 shows an example of image data acquisition by the CCD image sensor 23. When two banknotes A1 and A2 of the same size are stacked and transported in an inclined offset state, the CCD image sensor 2 3 The image data 91 of the banknotes that have been superimposed is obtained, and the binary image processing of the image data 91 is performed to determine the external shape of the banknotes. At the time of such a decision, the image data 91 can be used to see the corners of the quadrangle of the banknote, thereby determining the external shape of the banknote. The calculation of the allowable frame is performed by calculating the difference between the image data (outer shape data) and the contour data described above. For example, in order to improve the resolution, the image data of the CCD image sensor is compared with the data of both the image data and the contour data by the thickness sensor. The result of calculating the difference between the profile data of the image data from the CCD image sensor and the profile data from the thickness sensor (thickness sensor data-image data), when it is 2 mm in the direction of the long side of the banknote, for example In the case of a difference, when the profile data is compared with the profile basic data located in the memory section 54, a 2 mm tolerance is applied to the long side direction of the banknote of the profile basic data and compared. Specifically, in the profile data, the length direction of the banknote is 121 mm, and in the image data, the length direction of the banknote is 1 1 mm. The allowable system is calculated as 121-119 = 2 mm. Therefore, when comparing with the profile basic data (120mm), the allowable 値 2mm is applied. If it is in the range of 120 mm to 122 mm, it is judged to be consistent with the profile basic data. The type of currency. Furthermore, the volume calculation unit 53 compares the volume of the three-dimensional data of the transported banknotes obtained from the thickness data and the contour data with the volume-based data stored in the memory unit 54, and Can accurately identify the number of banknotes or the type of currency. The memory unit 54 stores the lengths of the vertical and horizontal lines defined in the currency notes of each currency type, the outline basic data formed on the basis of volume, and the volume basic data. For example, when the type of currency to be used is 2 types of currency, the thickness of the type of A to be transferred in the horizontal length is set to 0. When the length is 1mm and the length is set to 70mmx 120mm, the volume is 840mm3. In addition, the thickness of the B coin type is set to 0. After the length is 1mm and the length is 60mm X 110mm, the volume will be 660mm3. The two parties are memorized as a criterion for judgment. In the contour comparison section 55, the banknotes are discriminated in order to compare the actually detected contour data and the contour basic data stored in the memory section 54. Fig. 10 shows an example of a banknote discrimination process. As shown in Fig. 10 (A) and Fig. 10 (B), the outline data of the banknote is extracted from the detection waveform obtained by the thickness detector 24. . The extracted outline data and the outline basic data stored in the memory section 54 are compared. As a result, as shown in FIG. 10 (C), the types of two A coins that are stored in the memory unit 54 and the squares (50 mm X 100 mm) of different sizes that are stored in the memory unit 54 are obtained. As a result, quadrilaterals of different sizes can be judged as invalid data by -21-581983. Figure 11 shows other examples of banknote discrimination processing. As shown in Figure 11 (A) and Figure 11 (B), the outline of the banknote is extracted from the detection waveform obtained by the thickness sensor 24. data. The extracted outline data and the outline basic data stored in the memory section 54 are compared. As a result, as shown in FIG. (C), a quadrilateral having the same size as the type A coin and the type B coin stored in the memory section 54 is obtained. With this, it is possible to determine a state in which two different types of coins are conveyed on top of each other. The determination unit 56 compares the volume data of the banknote calculated by the volume calculation unit 53 and the comparison result compared by the contour comparison unit 55. At this time, if it is within the error range, it is to determine the number of banknotes and the type of currency. For example, as shown in Figure 10, when the continuous delivery of banknotes of the same size occurs, when determining the number of sheets or the type of currency, to determine the information of the type of two A currency cards and determine the volume Is the volume calculated by the calculation unit 53 within the range of 840mm3x 2 soil volume allowable? At this time, if it is within the error range (within the tolerance range), the continuous delivery status of the two types of A coin can be determined. Similarly, as shown in Figure 11, when continuous delivery of banknotes of different sizes occurs, when determining the number of sheets or the type of currency, in order to determine that the information of the type of A currency and the type of B currency have been obtained, And whether the volume calculated by the volume calculation unit 53 is within the range of 8 40 mm3 + 66 Omm3 ± volume tolerance. At this time, if it is within the range of the error, it is possible to determine the continuous sending status of two sheets of A currency type and B currency type. -22- 581983 Furthermore, when making the determination, whether it is volume or contour data, a certain number of sheets can be predicted, but the use of two data can improve the accuracy of the determination. In addition, even when the tilt is large, the thickness data of the thickness sensors arranged across the full width of the conveying path is contour data that can extract the shape of the outside shape of the banknote. Therefore, the accuracy can be obtained as It is best to determine the number of sheets and the type of currency. Figure 12 shows an example of detection when a folded banknote is being conveyed. As shown in Figure 12 (A), when a banknote with a folded corner a is being conveyed, it is read by the CCD image sensor 23 An image of a banknote. ® In the read CCD image sensor 23, as shown in Fig. 12 (B), non-quadrilateral image data having a folded shape is obtained. In addition, in the thickness sensor 24, as shown in Fig. 12 (C), a non-quadrilateral profile material 122 having a folded shape is obtained. Further, in the contour extracting section 51, when the contour material 122 having a chamfer is extracted, as shown in Fig. 12 (D), the chamfer a of the contour data is developed along the contour. By comparing such expanded data with the outline basic data by the outline comparison unit 55, it is possible to confirm the comparison. In the contour comparison section 55, the non-quadrilateral contour data 1 2 2 cannot be confirmed by comparison with the contour basic data of the memory section 54. In addition, in the figure, 'the thickness of the upper right corner triangle portion can be detected to form 2 times the resulting angle. In this case, expansion data is created by performing expansion as described later. As a result, the determination unit 56 can accurately determine the number of sheets and the type of money even if the folded paper money is conveyed. Figure 13 shows the expansion method of the above-mentioned folded banknote -23- 581983 (a 1 g ο r i t h m), in order to find the number of 5 tigers and connecting edges at each vertex at this time. In this case, since the vertices (corners) of the folded banknote have 6's, a number of 1 to 6 is added to the vertices, and the row and column representation (vertex number, number of sides) is displayed, and the following results are obtained. (1, 2) (2, 2) (3, 3): Can be turned back on the number of sides 3 (4, 2) (5, 3): Can be turned back on the number of sides 3 (6, 2) As a result, Folding can be performed at the number of sides 3 (in the figure 13 it can be turned back at the positions of vertices number 3 and 5). From the above thickness data, because the upper right triangle sides are the sides forming the thickness 2, When the profile is developed from the profile data, since the profile is a condition equivalent to forming a quadrangle, the return position of the corner portion is determined. When there are no two vertices corresponding to the above-mentioned number of sides of 3, or when there are 4 or more vertices, it is judged that the banknotes overlap. With the banknote identification device 21 configured as described above, the processing operation for determining the number of banknotes and the type of banknotes will be described with reference to the flowchart in FIG. 14. When the banknote passes through the identification conveyance path 22, the thickness of the passed banknote is detected by the thickness detector 24, and the image of the banknote is obtained by the CCD image sensor 23 (step nl). In each of the thickness detection elements 25 of the thickness sensor 24 described above, in each of the detection waveforms of -24-581983, the contour data representing the outer shape of the banknote is extracted by the contour extraction portion 51 (step η2). In addition, in the allowance calculation unit 52, the allowance is calculated from the difference between the external shape data obtained by the banknote image acquired by the CCD image sensor 23 and the contour data extracted by the contour extraction unit 51. (Step η3) ○ The outline basic data and the outline data, which have been calculated with the allowable tolerance calculated, are compared by the outline comparison unit 55 (step η4). At this time, it is determined whether or not a bend has occurred on the paper money by the comparison result of the outline comparison 55. (Step ιι5). When it is judged that no bill is bent, the type and number of bills are estimated (step η6). The volume calculation unit 53 calculates the volume from the thickness data and the contour data (step η7). From the comparison result of comparing the obtained volume with the volume-based data stored in the memory portion 54, the determination portion 56 determines whether the volume is within an allowable range (step? 8). At this time, if it is within the allowable range, it is determined as a determinable bill, and the type and number of the bill are determined (step η9). However, if it is determined in step η8 that it is outside the allowable range, rejection processing is performed because it cannot be determined. In addition, even in the case where it is determined that there is a bend in step n5 described above, when it is determined that the folded portion cannot be unfolded, the defective processing is performed. -25- 581983 However, even if it is judged that there is a bend in step n5 above, if the bent portion is folded back in a line-symmetrical pattern for the stomach and an expandable stomach material is provided (step η 1 0), it is prepared The unfolded data of unfolded banknotes is converted into regular banknotes without bending for data processing. After that, the processing after step η6 described above is performed to determine the type and number of bills of the banknote (step nl 1). In this way, the thickness of the full width in the conveyance width direction of the conveyance path 22 is subdivided by the thickness sensor 24 into a plurality of thickness sensing elements 25 and the thickness data of the full width is detected, so the conveyance width can be detected with high accuracy Full area of direction. In addition, the contour data representing the outer shape of the banknote is extracted from the thickness data, so that the three-dimensional contour of the banknote can be accurately captured. Therefore, even without image data, the number of banknotes and the type of banknotes can be accurately determined. Furthermore, even when the fully-covered paper money shown in Fig. 18 is continuously conveyed, the number of paper money and the type of the paper money can be accurately determined from the three-dimensional data of the paper money. As described above, when the banknote identification device is assembled in the identification part of the ATM that sends out banknotes, the banknote identification device is equipped with a plurality of thickness detection elements that are arranged to have a full width across the transportation width direction of the transportation path to The full-width thickness data is subdivided and detected. Therefore, the entire area in the width direction of the conveyance can be detected with high accuracy, and banknotes can be accurately captured regardless of the oblique conveyance. Therefore, there is no risk of failure and misjudgment, and count management with high reliability can be performed. In addition, even if there is no image data, the number of banknotes and the currency type can be accurately determined, even when the banknotes that are completely covered as shown in Figure 18 are continuously transported, Because the three-dimensional data of banknotes can be obtained based on the high-precision thickness data, the number of banknotes and the type of currency can be accurately determined. In the correspondence between the structure of the present invention and the structure of the previous embodiment, the paper sheet determining device of the present invention corresponds to the banknote determining device 21 of the embodiment, and the following is the same, and the conveying path corresponds to the identification conveying path. 22, paper type corresponds to banknotes A, A1, A2, A3, A4, contour extraction device corresponds to the contour extraction portion 51, billion-digit device corresponds to the memory portion 54, comparison device and bending detection device It corresponds to the contour comparison unit 55, the determination device corresponds to the determination unit 56, the image data acquisition device corresponds to the CCD image sensor 23, and the allowance calculation means corresponds to the allowance calculation unit 52. Even so, the present invention relates to It can be applied based on the technical ideas shown in the scope of the patent application, and is not limited to the structure of the above embodiment. [Effects of the Invention] According to the present invention, the three-dimensional contours of the paper are obtained from the detection waveform of the thickness sensor, so that the number of sheets of paper with high reliability can be determined with high accuracy. And the type of paper is determined. [Brief Description of the Drawings] Figure 1 shows the internal structure of the banknote processing device built into the ATM. (A) and (B) of FIG. 2 are schematic structural diagrams of a banknote identification device. (A) and (B) of FIG. 3 are longitudinal sectional views of the internal structure of the thickness detecting element. -27- 581983 Figure 4 (A) and (B) show the appearance of the thickness sensor. FIG. 5 is a block diagram of a control circuit of the banknote determination device. (A) and (B) of FIG. 6 are explanatory diagrams of extraction examples of outline data. (A) and (B) of FIG. 7 are explanatory diagrams showing an example of the outline extraction of the physical properties of a banknote. (A) and (B) of FIG. 8 are explanatory diagrams of an example of extracting a physical outline of another banknote. Fig. 9 is an explanatory diagram of an example of image data acquisition by a CC image sensor. (A)-(C) of FIG. 10 are explanatory diagrams of a discrimination process example of a banknote. (A) to (C) in Fig. 11 are explanatory diagrams of examples of discrimination processing of other banknotes. (A) to (D) of Fig. 12 are explanatory diagrams of an example of a discrimination process for a bent banknote. Figure 13 is an explanatory diagram showing the unfolding of the folded paper closure. Fig. 14 is a flowchart showing the processing operation of the banknote determination device. (A) and (B) of FIG. 15 are explanatory diagrams of conveyance of a conventional paper conveyance detection structure. (A) and (B) of FIG. 16 are the conveying explanatory diagrams of the conventional conveying detection example when the paper sheet has a large inclination. Fig. 17 is a diagram for explaining a conventional example of miscalculation of paper sheets. Fig. 18 is a diagram illustrating the conveyance of a conventionally completely hidden banknote in a state of -28-581983. [Description of Representative Symbols of Main Sections] 1 6: Identification section 2 1: Banknote identification device 23: CCD image sensor 24: Thickness sensor 5 1 · Hall extraction section 5 2: Allowable section calculation section 54: Memory section 5 5: Contour comparison section 5 6: Determination section
Al、A2、A3、A4:紙幣Al, A2, A3, A4: banknotes
-29--29-