Image from Google Jackets

Towards automation in 5s - classification and detection of images from construction sites (Softcopy is also available)

By: Contributor(s): Material type: TextTextPublication details: 2023Description: xviii,83pDDC classification:
  • CEM TH-0444 MAK
Contents:
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
Tags from this library: No tags from this library for this title. Log in to add tags.
Star ratings
    Average rating: 0.0 (0 votes)
Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
Thesis CEPT Library Faculty of Technology CEM TH-0444 MAK Not for loan 025794
Total holds: 0

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

There are no comments on this title.

to post a comment.
Excel To HTML using codebeautify.org Sheet Name :- Location Chart
Location Chart Basement 1 (B1) Class No. 600 - 649, 660 - 699
(B1) :Mezzanine 1 Class No. 700 - 728
(B1) :Mezzanine 2 Class No. 728.1 - 799, 650 - 659, Reference Books, Faculty work
Basement 2 (B2) Class No. 000 - 599, 800-999
Basement 3 (B3) (Please Inquire at the Counter for resources) Theses, Students' works, Bound Journals, Drawings, Atlas, Oversize Books, Rare Books, IS codes, Non-book Materials