[Khóa luận tốt nghiệp] Design and implementation of classfication and delivery based on computer vision
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TABLE OF CONTENTS
LIST OF PICTURES ............................................................................................................. vi
LIST OF TABLES ................................................................................................................ viii
ABBREVIATIONS ................................................................................................................. ix
CHAPTER1: OVERVIEW ..................................................................................................... 1
1.1 Introduction .................................................................................................................. 1
1.2 Objective ...................................................................................................................... 2
1.3 Limitation ..................................................................................................................... 2
1.4 Research Method ......................................................................................................... 2
1.5 Object and Scope of the study ..................................................................................... 2
1.5.1 Object of the study ................................................................................................ 3
1.5.2 Scope of the study ................................................................................................ 3
1.6 Outline ......................................................................................................................... 4
CHAPTER 2: BACKGROUND ............................................................................................. 6
2.1 AI Technology .................................................................................................................. 6
2.1.1 Overview of CNN ...................................................................................................... 6
2.1.2 Yolo network ............................................................................................................. 9
2.1.3 Yolov7 ..................................................................................................................... 12
2.1.4 OCR Theory ............................................................................................................ 16
2.1.5 Tesseract model ....................................................................................................... 17
2.2 Barcode Technology ....................................................................................................... 18
2.2.1 Introduction to barcode ............................................................................................ 18
2.2.2 Barcode types .......................................................................................................... 19
2.2.3 The methods of Barcode scanning........................................................................... 20
2.2.4 Code 128 .................................................................................................................. 22
2.3 The overview of AGV .................................................................................................... 24
2.3.1 The introduction of AGV ........................................................................................ 24
2.2.2 The fundamental architecture of an AGV system ................................................... 25
2.4 PYQT5 Platform ............................................................................................................. 29
2.5 Firebase ........................................................................................................................... 31
2.5.1 Introduction to Firebase ........................................................................................... 31
2.5.2 Some features of Firebase........................................................................................ 32
2.5.3 The pros and cons of firebase .................................................................................. 33
2.6 Other techniques used in the project .............................................................................. 33
2.6.1 The working principle of the infrared sensor circuit in the vehicle's line detector . 33
2.6.2 Pulse width modulation (PWM) .............................................................................. 34
2.6.3 General operating principles of Automatic Traction Robot .................................... 35
v
2.6.4 The method for establishing the robot's location in relation to the line .................. 36
2.6.5 Serial Peripheral Interface (SPI) .............................................................................. 39
CHAPTER 3: DESIGN AND IMPLEMENTATION ........................................................ 43
3.1 System requirements ...................................................................................................... 43
3.2 Block diagram ................................................................................................................ 43
3.3 AI System ....................................................................................................................... 45
3.3.1 Hardware Design ..................................................................................................... 45
3.3.2 Detail Software Design ............................................................................................ 47
3.4 AGV SYSTEM ............................................................................................................... 54
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