Car-interior object detection using deep learning
Object detection represents a pivotal facet of computer vision, offering versatile applications across various domains including industrial inspection and intelligent video surveillance. Its value lies in its potential to substantially alleviate the demand for human resources through the implementat...
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| Materialtyp: | Thesis-Master by Coursework |
| Språk: | English |
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Nanyang Technological University
2023
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| Länkar: | https://hdl.handle.net/10356/170785 |
| _version_ | 1826112142896529408 |
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| author | Zhou, Yang |
| author2 | Yap Kim Hui |
| author_facet | Yap Kim Hui Zhou, Yang |
| author_sort | Zhou, Yang |
| collection | NTU |
| description | Object detection represents a pivotal facet of computer vision, offering versatile applications across various domains including industrial inspection and intelligent video surveillance. Its value lies in its potential to substantially alleviate the demand for human resources through the implementation of computer vision solutions. This strategic utilization holds profound significance and offers tangible practical implications. |
| first_indexed | 2024-10-01T03:02:07Z |
| format | Thesis-Master by Coursework |
| id | ntu-10356/170785 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T03:02:07Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1707852023-10-06T15:42:53Z Car-interior object detection using deep learning Zhou, Yang Yap Kim Hui School of Electrical and Electronic Engineering EKHYap@ntu.edu.sg Engineering::Electrical and electronic engineering Object detection represents a pivotal facet of computer vision, offering versatile applications across various domains including industrial inspection and intelligent video surveillance. Its value lies in its potential to substantially alleviate the demand for human resources through the implementation of computer vision solutions. This strategic utilization holds profound significance and offers tangible practical implications. Master of Science (Communications Engineering) 2023-10-03T04:34:49Z 2023-10-03T04:34:49Z 2023 Thesis-Master by Coursework Zhou, Y. (2023). Car-interior object detection using deep learning. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/170785 https://hdl.handle.net/10356/170785 en ISM-DISS-02672 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Zhou, Yang Car-interior object detection using deep learning |
| title | Car-interior object detection using deep learning |
| title_full | Car-interior object detection using deep learning |
| title_fullStr | Car-interior object detection using deep learning |
| title_full_unstemmed | Car-interior object detection using deep learning |
| title_short | Car-interior object detection using deep learning |
| title_sort | car interior object detection using deep learning |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/170785 |
| work_keys_str_mv | AT zhouyang carinteriorobjectdetectionusingdeeplearning |