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研究生:邱禹豪
研究生(外文):Yu-Hao Chiu
論文名稱:多槽式鈔票整理機之出入鈔控制與磁性檢測的分析研究與實現
論文名稱(外文):The Analysis and Implementation of Transfer Control and Magnetic Detection for Multi-slot Machine Banknote Sorter
指導教授:林震林震引用關係駱榮欽駱榮欽引用關係
口試委員:吳明川楊靖宇
口試日期:2012-01-19
學位類別:碩士
校院名稱:國立臺北科技大學
系所名稱:機電整合研究所
學門:工程學門
學類:機械工程學類
論文種類:學術論文
論文出版年:2012
畢業學年度:100
語文別:英文
論文頁數:55
中文關鍵詞:多槽式鈔票整理機磁性檢測磁性油膜真偽
外文關鍵詞:Multi-slot Machine Banknote SorterMagnetic detectionAuthenticity
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多槽式鈔票整理機其快速的處理能力,需要高度的技術整合能力。然而,整理機的技術多掌握在歐美日少數專業廠商手上。隨著市場需求的快速變化,傳統的驗鈔機已無法滿足客戶實際需要,提升鑑偽速度及商品化是主要的努力方向。
研究主要以PIC18F4431單晶片為控制核心,改善一般鈔票整理機的出入鈔控制、磁性檢測,提升辨識速度。硬體以DC (24V) 馬達驅動結合離合器、旋轉電磁閥、剎車、編碼器、IR Sensor等元件控制鈔票出入鈔的動作。真偽辨識部分選用BS05C1HFAA磁性感應器,利用鈔票上微量磁性油膜進行辨識。同時,利用霍爾感應器組成的厚度偵測平台,實現鈔票厚度的辨識。控制軟體使用C語言撰寫,並於Microchip的開發環境MPLAB下發展。硬體電路架構參考業界常使用的控制電路,並加以創新改良。使用的零組件也以業界常使用且易取得為原則,目的使本文所完成的電控系統,在軟硬體方面,均能立即轉換成業界所能量產及使用的產品。實驗結果,整體電控系統以500張/分的速度進行磁性檢測,辨識率為95%。


Fast processing Multi-slot Machine Banknote Sorters for require a high technical integration. However, the main mature technologies are mastered by several specialized companies in Europe, Japan and U.S. With the rapid changes in market demand, the conventional currency detector cannot meet the actual needs of customers. Therefore the paper is mainly focused on enhance the recognition rate and speed to meet the commercial development.
In this study, the single-chip microprocessor (PIC18F4431) functioned as a control center improves the transfer control and the authenticity of magnetic detection of the Multi-slot Machine Banknote Sorter to enhance the recognition rate. The motor to control the action of the banknote is driven by DC (24V) with clutch, Bistable Rotary Solenoid, brake, encoder, and IR Sensor components. Authenticity of the banknote is identified by tracing the micro magnetism with the magnetic sensors BS05C1HFAA. To improve the thickness detection, we use two precise Hall transducers that can measure the thickness under 0.03 mm. The software programs are developed in C language based on the MPLAB development tool by Microchip Technology Incorporation. Hardware circuit architectures take the common industry circuit as the reference for improvement and innovation. The using spare part as far as possible is often used by the industry and easy to obtain. The purpose of the study is to complete the electronic control system in terms of hardware and software that can be immediately converted into the industry''s products and mass-production. Use Hall sensors detect the thickness of banknotes. From the experimental results, the control system can execute the magnetic detection by the speed of 500 pieces per minute, and recognition rate is 95%.


摘 要 i
ABSTRACT ii
誌 謝 iv
TABLE OF CONTENTS v
TABLE OF CONTENTS vii
LIST OF FIGURES viii
Chapter 1 Introduction 1
1.1 Research Motivation 1
1.2 Research Overview 3
1.3 Thesis Organization 5
Chapter 2 System Architecture 6
2.1 System Architecture Overview 6
2.2 System Function Overview 7
2.3 System Hardware Architecture 8
2.3.1 Peripheral Interface Controller Microcontroller 9
2.3.2 Magnetic Pattern Recognition Sensors 10
2.3.3 Magnetic Pattern Recognition Circuit 13
2.3.4 Bistable Rotary Solenoid 15
2.3.5 Photo Reflector Sensor 17
2.4 Multi-slot Machine Banknote Sorter 18
2.4.1 Sensors Location 19
CHAPTER 3 Detection Method 21
3.1 System Control Software Architecture 21
3.1.1 Control Program Initialization 24
3.1.2 Interrupt Service Program 25
3.1.3 Pulse-Width Modulation (PWM) Signals 26
3.1.4 Speed Detection 28
3.2 Banknotes Authenticity Recognition 32
3.2.1 Magnetic Ink 32
3.2.2 Distribution of Banknotes Magnetic Ink 33
3.3 Banknotes Denomination Recognition 38
3.3.1 Denomination Recognition Process 44
3.4Thickness of Identification for Banknote 47
Chapter 4 Experimental Results 49
4.1 Authenticity Recognition Results 49
4.2 Denomination Recognition Results 50
4.3 Thickness of the Identification Results 50
Chapter 5 Conclusions and Future Studies 52
References 54



[1]William L. Kozlowski, West Bloomfield, Mich., “Center Line Magnetic Ink Character Recognition System”, U.S Patent No.:5134663. Jul.28, 1992.
[2]Baiqing Sun, Jilu Li, “The Recognition of New and Old Banknotes Based on SVM”, Jul.2007.
[3]Robert William Kruppa, Cary, “Integrated Magnetic Ink Character Recognition System and Method Therefor”, U.S Patent No.:6243504 B1. Jun.5, 2001.
[4]Chin-Chih Shiau, “Magnetic Ink Character Reader System”, U.S Patent No.:4148010, Apr.3, 1979.
[5]Microchip 8-bitPIC®Microcontrollers, http://www.microchip.com/en_US/family/8bit/index.html
[6]Murata Manufacturing, http://www.murata.com/products/sensor/index.html
[7]Carl H. Smith and Robert W. Schneider, “Low-Field Magnetic Sensing with GMR Sensors”, Oct., 1999.
[8]Richard E. Milford, “Document Character Recognition System for Identifying Magnetic Ink Characters on Bank Checks and The Like”, U.S Patent No.:4315246, Feb. 9, 1982.
[9]Robert B. Nally; James F. Akister; David Hulford, “Magnetic Ink Character Recognition Apparatus”, U.S Patent No.:4277776, Jul. 7, 1981.
[10]Terry A. Will, Charlotte, N.C., “Method of Identifying Magnetic Ink (MICR) Characters”, U.S Patent No.:4797938, Jan.10, 1989.
[11]Edward Hau-Chun Ku, Gene D. Rohrer, “Character Recognition System”, U.S Patent No.:4356472, Oct. 26, 1982.
[12]Gary R. Marshall; Gene R. Franklin; Benedict C-M Ho, “Method and Apparatus for Magnetic Ink Character Recognition Using a Magneto-Resistive Read Head”, U.S Patent No.:5729621, Mar. 17, 1998.
[13]Douglas L. Milne, Dundee (GB), “Optical sensor”, U.S Patent No.:0155573 A1. Jun.24, 2010.
[14]曾百由, “Microprocessors Fundamentals and Applications-Using C Language and PIC18 Microcontrollers”,五南出版社,民國99年.
[15]Microchip Technology Inc. (2002) PIC18F452 data sheet. Retried December 10, 2005 from http://www.microchip.com/
[16]Hans A.M.,” Life Cycle Analyses of Security Features in Banknotes”, 20 – 23 February, 2005.
[17]江雅雯,值基於色彩及紋理分析之鈔票偵測系統,碩士論文,私立中原大學資訊工程學系,台灣,中華民國九十五年七月。
[18]Sato,M.; Kitagawa, T.; Sekiguchi, T.; Watanabe, K.; Goto, M.;“Fuzzy logic based banknote transfer control”, IEEE Fuzzy Systems,Vol.1, pp. 279-284,Mar.28 1993.
[19]Kazuo Nishimura, “Banknote Recognition Based on Continuous Change in Strictness of Examination”, ICROS-SICE, August 18-21, 2009.
[20]彭淮南,96年中央銀行年報,中央銀行,109頁,民國97年。
[21]彭淮南,97年中央銀行年報,中央銀行,107頁,民國98年。
[22]彭淮南,98年中央銀行年報,中央銀行,103頁,民國99年。


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