AI-based drone vision and control
Artificial intelligence has been the backbone of many industry leading application. It makes electronics equipped with it smarter allowing the users to tap on its ability to process information quick. What if it was used to aid vision equipped device to be able to assist human user improve their eve...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2024
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| Online Access: | https://hdl.handle.net/10356/177235 |
| _version_ | 1826109702434455552 |
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| author | Pua, Lennard Wei Jian |
| author2 | Wen Bihan |
| author_facet | Wen Bihan Pua, Lennard Wei Jian |
| author_sort | Pua, Lennard Wei Jian |
| collection | NTU |
| description | Artificial intelligence has been the backbone of many industry leading application. It makes electronics equipped with it smarter allowing the users to tap on its ability to process information quick. What if it was used to aid vision equipped device to be able to assist human user improve their everyday lives as well as their safety? This paper aims to explore the possibility of AI vision equipped drone helping lifeguards to patrol the pools and the sea to help identify swimmers at risk of drowning. It will help to evaluate the model of choice, YOLOv8’s performance as a real time object detection model on a drone and it also serves as a documentation of the considerations of this project as well as its difficulties faced while developing the tracking algorithm as well as the controller before concluding on the possibility of deploying the model in real applications. |
| first_indexed | 2024-10-01T02:22:14Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/177235 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T02:22:14Z |
| publishDate | 2024 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1772352024-05-31T15:44:55Z AI-based drone vision and control Pua, Lennard Wei Jian Wen Bihan School of Electrical and Electronic Engineering bihan.wen@ntu.edu.sg Engineering AI drone vision Control YOLOV8 Artificial intelligence has been the backbone of many industry leading application. It makes electronics equipped with it smarter allowing the users to tap on its ability to process information quick. What if it was used to aid vision equipped device to be able to assist human user improve their everyday lives as well as their safety? This paper aims to explore the possibility of AI vision equipped drone helping lifeguards to patrol the pools and the sea to help identify swimmers at risk of drowning. It will help to evaluate the model of choice, YOLOv8’s performance as a real time object detection model on a drone and it also serves as a documentation of the considerations of this project as well as its difficulties faced while developing the tracking algorithm as well as the controller before concluding on the possibility of deploying the model in real applications. Bachelor's degree 2024-05-29T02:44:33Z 2024-05-29T02:44:33Z 2024 Final Year Project (FYP) Pua, L. W. J. (2024). AI-based drone vision and control. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/177235 https://hdl.handle.net/10356/177235 en A3240-231 application/pdf Nanyang Technological University |
| spellingShingle | Engineering AI drone vision Control YOLOV8 Pua, Lennard Wei Jian AI-based drone vision and control |
| title | AI-based drone vision and control |
| title_full | AI-based drone vision and control |
| title_fullStr | AI-based drone vision and control |
| title_full_unstemmed | AI-based drone vision and control |
| title_short | AI-based drone vision and control |
| title_sort | ai based drone vision and control |
| topic | Engineering AI drone vision Control YOLOV8 |
| url | https://hdl.handle.net/10356/177235 |
| work_keys_str_mv | AT pualennardweijian aibaseddronevisionandcontrol |