A Blind assistance and navigation system using SIFT algorithm for indoor environments
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013.
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BRAC University
2014
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| Online adgang: | http://hdl.handle.net/10361/2963 |
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10361-2963 |
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10361-29632022-01-26T10:10:31Z A Blind assistance and navigation system using SIFT algorithm for indoor environments Zereen, Aniqua Nusrat Kabir, Sadia Binte Alom, Md. Zahangir Department of Computer Science and Engineering, BRAC University Blind navigation SIFT Blind assistive system Features descriptors Feature matching Computer science and engineering This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013. Cataloged from PDF version of thesis report. Includes bibliographical references (page 31). When blind people are trying to navigate the city streets, they can get assistance from a speaking GPS-enabled Smartphone, just like everyone else. Once they move indoor and lose access to the required satellite signals. While there are some indoor navigation systems that require things like radio-frequency tags to be strategically placed around the building, it‟s currently unrealistic to expect to find such systems installed in many places. However, we are going to propose blind assistance and navigation system for indoor environment. It required a computer with camera loaded up with digital images of the room. Features and key points of the images have been extracted using Scale Invariant Feature Transform (SIFT)[1] algorithm from parent and child images. Database has been created with the key feature points and sound files for individual child images. Moreover, our Matching algorithm is modified K-D tree[6] known as Best Bin First (BBF) method. It has been used to match the key points of parent images with database to recognize the desire child images. System has been developed to determine the desired object and guide them along it via verbal cues from the database. Experimental results are demonstrated this proposed method is accurate and reliable to solve the promising and challenging Blind Assistance and Navigation System using SIFT Algorithm for Indoor Environments. Aniqua Nusrat Zereen Sadia Binte Kabir B. Computer Science and Engineering 2014-02-25T04:28:56Z 2014-02-25T04:28:56Z 2013 2013-12 Thesis ID 09201031 ID 09201033 http://hdl.handle.net/10361/2963 en BRAC University thesis are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. 32 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Blind navigation SIFT Blind assistive system Features descriptors Feature matching Computer science and engineering |
| spellingShingle |
Blind navigation SIFT Blind assistive system Features descriptors Feature matching Computer science and engineering Zereen, Aniqua Nusrat Kabir, Sadia Binte A Blind assistance and navigation system using SIFT algorithm for indoor environments |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2013. |
| author2 |
Alom, Md. Zahangir |
| author_facet |
Alom, Md. Zahangir Zereen, Aniqua Nusrat Kabir, Sadia Binte |
| format |
Thesis |
| author |
Zereen, Aniqua Nusrat Kabir, Sadia Binte |
| author_sort |
Zereen, Aniqua Nusrat |
| title |
A Blind assistance and navigation system using SIFT algorithm for indoor environments |
| title_short |
A Blind assistance and navigation system using SIFT algorithm for indoor environments |
| title_full |
A Blind assistance and navigation system using SIFT algorithm for indoor environments |
| title_fullStr |
A Blind assistance and navigation system using SIFT algorithm for indoor environments |
| title_full_unstemmed |
A Blind assistance and navigation system using SIFT algorithm for indoor environments |
| title_sort |
blind assistance and navigation system using sift algorithm for indoor environments |
| publisher |
BRAC University |
| publishDate |
2014 |
| url |
http://hdl.handle.net/10361/2963 |
| work_keys_str_mv |
AT zereenaniquanusrat ablindassistanceandnavigationsystemusingsiftalgorithmforindoorenvironments AT kabirsadiabinte ablindassistanceandnavigationsystemusingsiftalgorithmforindoorenvironments AT zereenaniquanusrat blindassistanceandnavigationsystemusingsiftalgorithmforindoorenvironments AT kabirsadiabinte blindassistanceandnavigationsystemusingsiftalgorithmforindoorenvironments |
| _version_ |
1814307833868451840 |