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Makwana, Viral (PCM21404)

Towards automation in 5s - classification and detection of images from construction sites (Softcopy is also available) - 2023 - xviii,83p.

TABLE OF CONTENTS
UNDERTAKING v
CERTIFICATE vii
ACKNOWLEDGEMENTS ix
ABBREVIATIONS xi
TABLE OF CONTENTS xiii
LIST OF FIGURES xv
LIST OF TABLES xvii
CHAPTER-1: INTRODUCTION 19
1.1 Background 19
1.2 Need for study 21
1.3 Objective 23
1.4 Research Methodology 24
1.5 Research Timeline 25
CHAPTER-2: Literature review 27
2.1 Lean Construction 27
2.2 Application of 5S - Lean tool 28
2.3 Automation in construction 31
2.4 Deep learning 33
2.4.1 Image classification 35
2.4.2 Object detection 39
CHAPTER-3: Research methodology 45
3.1 Image classification model 47
3.1.1 Preparation 48
3.1.2 Pre-processing 49
3.1.3 Development of Deep learning CNN model 49
3.1.4 Image classification & Deployment 54
3.2 Object Detection model 55
3.2.1 Preparation 56
3.2.2 Pre-processing 57
3.2.3 Training 57
3.2.4 Testing 58
3.2.5 Fine-tuning and Deployment 58
CHAPTER-4: Data collection 59
4.1 Image classification dataset 59
4.1.1 Web mining: 59
4.1.2 Crowdsourcing: 60
4.2 Object Detection Dataset 60
4.2.1 Web Mining: 61
4.2.2 Crowdsourcing: 61
CHAPTER-5: Data Analysis 63
5.1 Image classification 63
5.2 Object detection Model 66
CHAPTER-6: Conclusion 75
6.1 Future Work 75
6.2 Limitations 76
References 77


Dewey Class. No.: CEM TH-0444 / MAK