Towards automation in 5s - classification and detection of images from construction sites (Softcopy is also available) (Record no. 71804)
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000 -LEADER | |
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fixed length control field | 01932nam a2200181Ia 4500 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240315s9999 xx 000 0 und d |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | CEM TH-0444 |
Item number | MAK |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Makwana, Viral (PCM21404) |
245 #0 - TITLE STATEMENT | |
Title | Towards automation in 5s - classification and detection of images from construction sites (Softcopy is also available) |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Date of publication, distribution, etc | 2023 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xviii,83p. |
505 ## - FORMATTED CONTENTS NOTE | |
Formatted contents note | TABLE OF CONTENTS <br/>UNDERTAKING v <br/>CERTIFICATE vii <br/>ACKNOWLEDGEMENTS ix <br/>ABBREVIATIONS xi <br/>TABLE OF CONTENTS xiii <br/>LIST OF FIGURES xv <br/>LIST OF TABLES xvii <br/>CHAPTER-1: INTRODUCTION 19 <br/>1.1 Background 19 <br/>1.2 Need for study 21 <br/>1.3 Objective 23 <br/>1.4 Research Methodology 24 <br/>1.5 Research Timeline 25 <br/>CHAPTER-2: Literature review 27 <br/>2.1 Lean Construction 27 <br/>2.2 Application of 5S - Lean tool 28 <br/>2.3 Automation in construction 31 <br/>2.4 Deep learning 33 <br/>2.4.1 Image classification 35 <br/>2.4.2 Object detection 39 <br/>CHAPTER-3: Research methodology 45 <br/>3.1 Image classification model 47 <br/>3.1.1 Preparation 48 <br/>3.1.2 Pre-processing 49 <br/>3.1.3 Development of Deep learning CNN model 49 <br/>3.1.4 Image classification & Deployment 54 <br/>3.2 Object Detection model 55 <br/>3.2.1 Preparation 56 <br/>3.2.2 Pre-processing 57 <br/>3.2.3 Training 57 <br/>3.2.4 Testing 58 <br/>3.2.5 Fine-tuning and Deployment 58 <br/>CHAPTER-4: Data collection 59 <br/>4.1 Image classification dataset 59 <br/>4.1.1 Web mining: 59 <br/>4.1.2 Crowdsourcing: 60 <br/>4.2 Object Detection Dataset 60 <br/>4.2.1 Web Mining: 61 <br/>4.2.2 Crowdsourcing: 61 <br/>CHAPTER-5: Data Analysis 63 <br/>5.1 Image classification 63 <br/>5.2 Object detection Model 66 <br/>CHAPTER-6: Conclusion 75 <br/>6.1 Future Work 75 <br/>6.2 Limitations 76 <br/>References 77<br/> |
700 ## - ADDED ENTRY--PERSONAL NAME | |
Personal name | Devkar, Ganesh (Guide) |
890 ## - Country | |
Country | India |
891 ## - Topic | |
Topic | 2021 Batch |
891 ## - Topic | |
Topic | Construction engineering and Management |
891 ## - Topic | |
Topic | FT-PG |
Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Withdrawn status | Home library | Current library | Date acquired | Source of acquisition | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
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Faculty of Technology | CEPT Library | CEPT Library | 15/03/2024 | Faculty of Technology | CEM TH-0444 MAK | 025794 | 15/03/2024 | 15/03/2024 | Thesis |