Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163120
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dc.contributor.authorLee, Rachel Yi Huien_US
dc.date.accessioned2022-11-24T07:28:30Z-
dc.date.available2022-11-24T07:28:30Z-
dc.date.issued2022-
dc.identifier.citationLee, R. Y. H. (2022). Smartphone-based audio white cane for the blind. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163120en_US
dc.identifier.urihttps://hdl.handle.net/10356/163120-
dc.description.abstractThis project involved the design and implementation of a real-time mobile application that makes use of the rear camera of a smartphone to provide appropriate sounds to help guide and warn a blind user during dangerous situations. Real-time computer vision algorithms were created to process the live video streams received from the smartphone camera. Features from the live video streams were then extracted and processed to determine if they are dangerous obstacles and sound appropriate audio cues to the user.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.subjectEngineering::Computer science and engineering::Computer applications::Computer-aided engineeringen_US
dc.titleSmartphone-based audio white cane for the blinden_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorGoh Wooi Boonen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Engineering (Computer Science)en_US
dc.contributor.supervisoremailASWBGOH@ntu.edu.sgen_US
item.grantfulltextrestricted-
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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