Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/176647
Full metadata record
DC FieldValueLanguage
dc.contributor.authorTeoh, Chia Jieen_US
dc.date.accessioned2024-05-17T05:47:55Z-
dc.date.available2024-05-17T05:47:55Z-
dc.date.issued2024-
dc.identifier.citationTeoh, C. J. (2024). Portable traffic monitoring device. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176647en_US
dc.identifier.urihttps://hdl.handle.net/10356/176647-
dc.description.abstractThis project outlines the development of a portable traffic monitoring system utilizing Raspberry Pi and Oak D Lite camera technology. The system's objective is to contribute to traffic monitoring with wireless and autonomous functionality, minimizing human intervention. Throughout the project's phases, including testing, algorithm refinement, and casing design, notable progress has been achieved. Emphasis has been placed on enhancing system portability, improving data presentation clarity, and optimizing overall efficiency. While significant strides have been made in improving system accuracy, efficiency, and functionality, ongoing challenges and areas for improvement remain. Moving forward, efforts will focus on addressing power supply issues and enhancing tracking accuracy. The ultimate goal is to establish a comprehensive vehicle monitoring system accessible remotely, with potential applications in traffic transport and urban planning. In summary, while progress has been made, there are still imperfections which needed to be addressed in the future, for transforming the system into a potential useful tool in urban traffic monitoring.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationA161en_US
dc.subjectEngineeringen_US
dc.titlePortable traffic monitoring deviceen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorYap Fook Fahen_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeBachelor's degreeen_US
dc.contributor.supervisoremailMFFYAP@ntu.edu.sgen_US
dc.subject.keywordsTraffic monitoringen_US
dc.subject.keywordsObject detectionen_US
dc.subject.keywordsPortable counting deviceen_US
dc.subject.keywordsComputer vision and image processingen_US
item.grantfulltextrestricted-
item.fulltextWith Fulltext-
Appears in Collections:MAE Student Reports (FYP/IA/PA/PI)
Files in This Item:
File Description SizeFormat 
TEOH_CHIA_JIE_A161_FINAL REPORT_AY2324.pdf
  Restricted Access
6.35 MBAdobe PDFView/Open

Page view(s)

91
Updated on Apr 24, 2025

Download(s)

2
Updated on Apr 24, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.