Smartphone-based audio white cane for the blind
This 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...
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Nanyang Technological University
2022
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sg-ntu-dr.10356-1631202022-11-24T07:28:30Z Smartphone-based audio white cane for the blind Lee, Rachel Yi Hui Goh Wooi Boon School of Computer Science and Engineering ASWBGOH@ntu.edu.sg Engineering::Computer science and engineering::Computer applications::Computer-aided engineering This 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. Bachelor of Engineering (Computer Science) 2022-11-24T07:28:30Z 2022-11-24T07:28:30Z 2022 Final Year Project (FYP) Lee, R. Y. H. (2022). Smartphone-based audio white cane for the blind. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163120 https://hdl.handle.net/10356/163120 en application/pdf Nanyang Technological University |
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Engineering::Computer science and engineering::Computer applications::Computer-aided engineering Lee, Rachel Yi Hui Smartphone-based audio white cane for the blind |
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This 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. |
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Goh Wooi Boon |
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Goh Wooi Boon Lee, Rachel Yi Hui |
format |
Final Year Project |
author |
Lee, Rachel Yi Hui |
author_sort |
Lee, Rachel Yi Hui |
title |
Smartphone-based audio white cane for the blind |
title_short |
Smartphone-based audio white cane for the blind |
title_full |
Smartphone-based audio white cane for the blind |
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Smartphone-based audio white cane for the blind |
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Smartphone-based audio white cane for the blind |
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smartphone-based audio white cane for the blind |
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Nanyang Technological University |
publishDate |
2022 |
url |
https://hdl.handle.net/10356/163120 |
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1751548531373506560 |