Pedestrian crossing guide based on Android-Cloud platform for blind people
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014.
| المؤلفون الرئيسيون: | , |
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| التنسيق: | أطروحة |
| اللغة: | English |
| منشور في: |
BRAC University
2014
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| الموضوعات: | |
| الوصول للمادة أونلاين: | http://hdl.handle.net/10361/2899 |
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10361-2899 |
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10361-28992022-01-26T10:08:14Z Pedestrian crossing guide based on Android-Cloud platform for blind people Hasan, Anik Sharif, Nasrat Alam, Md. Zahangir Karim, Risul Department of Computer Science and Engineering, BRAC University Object recognition Optical Flow Object detection Road sign identification, Computer science and engineering Image processing This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. Cataloged from PDF version of thesis report. Includes bibliographical references (page 34). This paper presents an automatic system which can detect road traffic and let blind people know about that so that they can easily cross the road. In the recent years, Android-driven mobile phones have got popularity among users and developers as well. In the first place, we have selected Android-driven phone to get the desired output. We have used real time image processing system to detect traffic condition of a road. To implement this, at first we needed a camera with good resolutions, a methodology which will give the decisions and last but not the least Internet connection. The captured image will run through the application and then the application automatically sends this information to the cloud. The cloud will automatically send information to the blind by internet whether it is safe to cross the road or not. Later, it became so complex that we had to change our path and decided to make a custom application which will automatically decide whether it is safe to cross the road or not by capturing instant images and process using OpenCV. Anik Hasan Nasrat Sharif B. Computer Science and Engineering 2014-01-29T04:49:34Z 2014-01-29T04:49:34Z 2014 2014 Thesis ID 09101024 ID 09201013 http://hdl.handle.net/10361/2899 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. 35 pages application/pdf BRAC University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Object recognition Optical Flow Object detection Road sign identification, Computer science and engineering Image processing |
| spellingShingle |
Object recognition Optical Flow Object detection Road sign identification, Computer science and engineering Image processing Hasan, Anik Sharif, Nasrat Pedestrian crossing guide based on Android-Cloud platform for blind people |
| description |
This thesis report is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2014. |
| author2 |
Alam, Md. Zahangir |
| author_facet |
Alam, Md. Zahangir Hasan, Anik Sharif, Nasrat |
| format |
Thesis |
| author |
Hasan, Anik Sharif, Nasrat |
| author_sort |
Hasan, Anik |
| title |
Pedestrian crossing guide based on Android-Cloud platform for blind people |
| title_short |
Pedestrian crossing guide based on Android-Cloud platform for blind people |
| title_full |
Pedestrian crossing guide based on Android-Cloud platform for blind people |
| title_fullStr |
Pedestrian crossing guide based on Android-Cloud platform for blind people |
| title_full_unstemmed |
Pedestrian crossing guide based on Android-Cloud platform for blind people |
| title_sort |
pedestrian crossing guide based on android-cloud platform for blind people |
| publisher |
BRAC University |
| publishDate |
2014 |
| url |
http://hdl.handle.net/10361/2899 |
| work_keys_str_mv |
AT hasananik pedestriancrossingguidebasedonandroidcloudplatformforblindpeople AT sharifnasrat pedestriancrossingguidebasedonandroidcloudplatformforblindpeople |
| _version_ |
1814307306290020352 |