| URN | etd-0818123-160619 | Statistics | This thesis had been viewed 30 times. Download 2 times. |
| Author | Ting-An Li | ||
| Author's Email Address | No Public. | ||
| Department | Department of construction & spatial design | ||
| Year | 2022 | Semester | 2 |
| Degree | Master | Type of Document | Master's Thesis |
| Language | zh-TW.Big5 Chinese | Page Count | 62 |
| Title | Using UAV photogrammetry for tombs surveying based on Teachable Machine: A case study of Shen-Keng District third cemetery in New Taipei City. | ||
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| Abstract | The Ministry of the Interior formulated the funeral management regulations to promote the environmental protection and sustainable operation of funeral facilities, promote innovation and upgrading of the funeral service industry, and provide high-quality services. However, the practical management of funeral facilities relies on local government officers or mountain patrols to conduct manual inspections and then locate them based on the coordinate information analyzed by GNSS satellite receivers, which consumes a lot of labor costs and is not urgent. In recent years, unmanned aerial vehicle (Unmanned Aerial Vehicle, UAV) has developed vigorously and has attracted high attention. In particular, it has the advantages of simple and fast maintenance, and the ability to automatically collect a large amount of space information, which accelerates the work efficiency of traditional ground measurement. However, the amount of aerial photos taken by drones is large. Therefore, if the technology of artificial intelligence (AI) can be applied to improve the efficiency of interpretation and reduce human errors, it will definitely improve the efficiency of government services and provide high-quality services. The purpose of this study is to explore how to use image recognition software to effectively recognize tombs, so as to provide an efficient and scientific spatial information processing mode for funeral management. Therefore, it is attempted to use unmanned aerial vehicles to conduct aerial photography of the funeral facilities of the Third Cemetery in Shenkeng District, New Taipei City, and then use artificial intelligence software tools to perform data processing, training, prediction and other procedures to identify grave information. This study conducted a comprehensive comparative analysis of the aerial photography results of tombs and cars at different aerial photography heights, and found that the lower the aerial height or the higher the resolution of the impact, the higher the recognition rate tends to be, but the experimental results are not significant . However, from the results, it can be found that Google Teachable Machine's recognition rate for tomb objects has an average success recognition rate of more than 82%. For car objects, they all meet the 100% success recognition rate. Therefore, the use of UAV combined with artificial intelligence (AI) technology can indeed improve the efficiency of interpretation and reduce human errors, and can improve the efficiency of government services and provide high-quality services. |
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| Files | indicate access worldwide | ||
| Date of Defense | 2023-07-05 | Date of Submission | 2023-08-18 |