Supervising vehicle using pattern recognition
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018.
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BRAC University
2018
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| Online Access: | http://hdl.handle.net/10361/10196 |
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10361-10196 |
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10361-101962022-01-26T10:13:15Z Supervising vehicle using pattern recognition Lushan, Mihodi Hasan Bhattacharjee, Manoshi Ahmed, Tarem Adnan, Mohammad Abdur Rahman Department of Computer Science and Engineering, BRAC University Machine learning Pattern recognition KOAD algorithm KNN algorithm Linear regression Support Vector Machine (SVM) Global Positioning System(GPS) This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. Cataloged from PDF version of thesis. Includes bibliographical references (pages 24-26). Our lives are becoming busier day by day. We are consequently forced to delegate important activities to other people. In developing countries, the middle class often have paid drivers pick up their children from schools. What if the driver decides to deviate from the usual route into a seedy part of town with the child? What if it speeds and is driving recklessly? What if it gets into an accident? In our countries like us, supervising our vehicles when we are not present in it, and being notified if anyone else using it for any unwanted/illegal intention is of paramount importance in our country. Alarms are annoying, and we want to improvise the system in a smarter way for smarter monitoring. The proposed system is developed by applying Linear Regression models, kth-Nearest-Neighbor and Support Vector Machine classifier to identify a pattern and detect abnormal behavior of the vehicle. Mihodi Hasan Lushan Manoshi Bhattacharjee B. Computer Science and Engineering 2018-05-22T07:10:48Z 2018-05-22T07:10:48Z 2018 2018-04 Thesis ID 14101222 ID 14301016 http://hdl.handle.net/10361/10196 en BRAC University theses 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. 26 pages application/pdf BRAC University |
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Brac University |
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Institutional Repository |
| language |
English |
| topic |
Machine learning Pattern recognition KOAD algorithm KNN algorithm Linear regression Support Vector Machine (SVM) Global Positioning System(GPS) |
| spellingShingle |
Machine learning Pattern recognition KOAD algorithm KNN algorithm Linear regression Support Vector Machine (SVM) Global Positioning System(GPS) Lushan, Mihodi Hasan Bhattacharjee, Manoshi Supervising vehicle using pattern recognition |
| description |
This thesis is submitted in partial fulfilment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2018. |
| author2 |
Ahmed, Tarem |
| author_facet |
Ahmed, Tarem Lushan, Mihodi Hasan Bhattacharjee, Manoshi |
| format |
Thesis |
| author |
Lushan, Mihodi Hasan Bhattacharjee, Manoshi |
| author_sort |
Lushan, Mihodi Hasan |
| title |
Supervising vehicle using pattern recognition |
| title_short |
Supervising vehicle using pattern recognition |
| title_full |
Supervising vehicle using pattern recognition |
| title_fullStr |
Supervising vehicle using pattern recognition |
| title_full_unstemmed |
Supervising vehicle using pattern recognition |
| title_sort |
supervising vehicle using pattern recognition |
| publisher |
BRAC University |
| publishDate |
2018 |
| url |
http://hdl.handle.net/10361/10196 |
| work_keys_str_mv |
AT lushanmihodihasan supervisingvehicleusingpatternrecognition AT bhattacharjeemanoshi supervisingvehicleusingpatternrecognition |
| _version_ |
1814308054206775296 |