Multimodal human detection in disaster situations using deep learning & artificial intelligence
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.
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Brac University
2023
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| Acesso em linha: | http://hdl.handle.net/10361/17918 |
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10361-179182023-02-26T21:01:40Z Multimodal human detection in disaster situations using deep learning & artificial intelligence Rafat, Md. Tasbi Hridy, Fahmida Ahmed Zaman, Rafid Ibna Santo, Hasibul Hassan Siddique, Ibrahim Rahman, Dr. Md. Khalilur Department of Computer Science and Engineering, Brac University Natural calamity Survival Artificial Intelligence Machine learning Detection System Deep Learning Machine learning. Artificial intelligence. This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. Cataloged from PDF version of thesis. Includes bibliographical references (pages 54-56). Mankind has faced natural calamities for survival since the very beginning of human civilization. Even after 65 million years, mankind is still figuring out ways to face natural calamities and survive its post-consequences effectively. Against natural phenomena like- hurricanes, tornadoes, earthquakes, building collapse, forest fires, etc. Humankind is weak and helpless. And no matter how technologically advanced humankind becomes, nature will always remain the strongest opponent that humans have to face for their survival. The revolution of science and technology has helped humankind to invent ways and techniques to survive by fighting against the natural calamities that they face. Technology can reach into places where humans cannot and technology can look deep into details that humans can never go through due to born limitations. Our paper represents the idea of a human detection system that during any calamity, with the help of multiple detection sensors and thermal visual ization techniques, can detect trapped human beings. This human detection system combines the knowledge of Machine learning and Artificial intelligence system tech niques. We hope to contribute to saving human lives during natural calamities and help them to overcome its aftermath in the quickest possible time. Md. Tasbi Rafat Fahmida Ahmed Hridy Rafid Ibna Zaman Hasibul Hassan Santo Ibrahim Siddique B. Computer Science 2023-02-26T05:30:01Z 2023-02-26T05:30:01Z 2022 2022-09 Thesis ID: 19101493 ID: 19101188 ID: 18301249 ID: 18301019 ID: 19101252 http://hdl.handle.net/10361/17918 en Brac University theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 56 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Natural calamity Survival Artificial Intelligence Machine learning Detection System Deep Learning Machine learning. Artificial intelligence. |
| spellingShingle |
Natural calamity Survival Artificial Intelligence Machine learning Detection System Deep Learning Machine learning. Artificial intelligence. Rafat, Md. Tasbi Hridy, Fahmida Ahmed Zaman, Rafid Ibna Santo, Hasibul Hassan Siddique, Ibrahim Multimodal human detection in disaster situations using deep learning & artificial intelligence |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022. |
| author2 |
Rahman, Dr. Md. Khalilur |
| author_facet |
Rahman, Dr. Md. Khalilur Rafat, Md. Tasbi Hridy, Fahmida Ahmed Zaman, Rafid Ibna Santo, Hasibul Hassan Siddique, Ibrahim |
| format |
Thesis |
| author |
Rafat, Md. Tasbi Hridy, Fahmida Ahmed Zaman, Rafid Ibna Santo, Hasibul Hassan Siddique, Ibrahim |
| author_sort |
Rafat, Md. Tasbi |
| title |
Multimodal human detection in disaster situations using deep learning & artificial intelligence |
| title_short |
Multimodal human detection in disaster situations using deep learning & artificial intelligence |
| title_full |
Multimodal human detection in disaster situations using deep learning & artificial intelligence |
| title_fullStr |
Multimodal human detection in disaster situations using deep learning & artificial intelligence |
| title_full_unstemmed |
Multimodal human detection in disaster situations using deep learning & artificial intelligence |
| title_sort |
multimodal human detection in disaster situations using deep learning & artificial intelligence |
| publisher |
Brac University |
| publishDate |
2023 |
| url |
http://hdl.handle.net/10361/17918 |
| work_keys_str_mv |
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1814309134550433792 |