Development of a mobile app for road marking and traffic sign identification
In today’s world, the increasing prevalence of technology and artificial intelligence has provided opportunities to ensure people’s safety in various ways. One such application would be the use of deep learning, a subset of Artificial Intelligence, in the development of mobile application to address...
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| Format: | Final Year Project (FYP) |
| Language: | English |
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Nanyang Technological University
2023
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| Online Access: | https://hdl.handle.net/10356/167620 |
| _version_ | 1826124040423604224 |
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| author | Tan, Marilyne Ying Xuan |
| author2 | Ng Beng Koon |
| author_facet | Ng Beng Koon Tan, Marilyne Ying Xuan |
| author_sort | Tan, Marilyne Ying Xuan |
| collection | NTU |
| description | In today’s world, the increasing prevalence of technology and artificial intelligence has provided opportunities to ensure people’s safety in various ways. One such application would be the use of deep learning, a subset of Artificial Intelligence, in the development of mobile application to address the issue of road safety. Road safety is a major concern around the world, and the identification of road markings and traffic signs plays a crucial role in ensuring safe driving. Therefore, the aim of this project is to develop a mobile application that accurately identifies road markings and traffic signs in real-time by leveraging on deep learning techniques. The application, developed on Android Studio and trained with a YOLOv5 model, utilizes the built-in camera in mobile devices to detect, classify, and predict these signs and markings, providing drivers with accurate and timely information to make informed decisions and reduce the risk of accidents. The model achieved an average accuracy of 94% in real-time detection for all the classes. This project contributes to the field of computer vision and has potential applications in the transportation industry. To enhance the application’s functionality, future improvements could include expanding the dataset and incorporating additional features. |
| first_indexed | 2024-10-01T06:14:10Z |
| format | Final Year Project (FYP) |
| id | ntu-10356/167620 |
| institution | Nanyang Technological University |
| language | English |
| last_indexed | 2024-10-01T06:14:10Z |
| publishDate | 2023 |
| publisher | Nanyang Technological University |
| record_format | dspace |
| spelling | ntu-10356/1676202023-07-07T17:52:50Z Development of a mobile app for road marking and traffic sign identification Tan, Marilyne Ying Xuan Ng Beng Koon School of Electrical and Electronic Engineering EBKNg@ntu.edu.sg Engineering::Electrical and electronic engineering In today’s world, the increasing prevalence of technology and artificial intelligence has provided opportunities to ensure people’s safety in various ways. One such application would be the use of deep learning, a subset of Artificial Intelligence, in the development of mobile application to address the issue of road safety. Road safety is a major concern around the world, and the identification of road markings and traffic signs plays a crucial role in ensuring safe driving. Therefore, the aim of this project is to develop a mobile application that accurately identifies road markings and traffic signs in real-time by leveraging on deep learning techniques. The application, developed on Android Studio and trained with a YOLOv5 model, utilizes the built-in camera in mobile devices to detect, classify, and predict these signs and markings, providing drivers with accurate and timely information to make informed decisions and reduce the risk of accidents. The model achieved an average accuracy of 94% in real-time detection for all the classes. This project contributes to the field of computer vision and has potential applications in the transportation industry. To enhance the application’s functionality, future improvements could include expanding the dataset and incorporating additional features. Bachelor of Engineering (Electrical and Electronic Engineering) 2023-05-31T05:38:03Z 2023-05-31T05:38:03Z 2023 Final Year Project (FYP) Tan, M. Y. X. (2023). Development of a mobile app for road marking and traffic sign identification. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/167620 https://hdl.handle.net/10356/167620 en A2195-221 application/pdf Nanyang Technological University |
| spellingShingle | Engineering::Electrical and electronic engineering Tan, Marilyne Ying Xuan Development of a mobile app for road marking and traffic sign identification |
| title | Development of a mobile app for road marking and traffic sign identification |
| title_full | Development of a mobile app for road marking and traffic sign identification |
| title_fullStr | Development of a mobile app for road marking and traffic sign identification |
| title_full_unstemmed | Development of a mobile app for road marking and traffic sign identification |
| title_short | Development of a mobile app for road marking and traffic sign identification |
| title_sort | development of a mobile app for road marking and traffic sign identification |
| topic | Engineering::Electrical and electronic engineering |
| url | https://hdl.handle.net/10356/167620 |
| work_keys_str_mv | AT tanmarilyneyingxuan developmentofamobileappforroadmarkingandtrafficsignidentification |