000			01932nam a2200181Ia 4500
008			240315s9999 xx 000 0 und d
082			_aCEM TH-0444 _bMAK
100			_aMakwana, Viral (PCM21404) _994261
245		0	_aTowards automation in 5s - classification and detection of images from construction sites (Softcopy is also available)
260			_c2023
300			_axviii,83p.
505			_a 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
700			_aDevkar, Ganesh (Guide)
890			_aIndia
891			_a2021 Batch
891			_aConstruction engineering and Management
891			_aFT-PG
999			_c71804 _d71804