Monitoring driver awareness through eye tracking
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
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| Kieli: | English |
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Brac University
2021
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| Linkit: | http://hdl.handle.net/10361/15512 |
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10361-155122022-01-26T10:04:52Z Monitoring driver awareness through eye tracking Chowdhury, Faiaz Hossain Shetab, Muhtasim Al Buyes Haque, Quazi Mohimenul Ali, MD. Nazif Arif, Hossain Department of Computer Science and Engineering, Brac University Driver awareness Drowsy driving Face detection Viola-Jones OpenCV Drowsy driving This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. Cataloged from PDF version of thesis. Includes bibliographical references (pages 24-25). Driving is a task that requires a high level of focus for the security of not just the person driving but also other drivers and passengers out on the road. Hence, it is a difficult task, as a human being might not be able to maintain this focus continuously for a lot of reasons such as drowsiness. Drowsiness is a reason for a lot of accidents that occur around the world, as a result car manufacturers and researchers are looking for solutions to decrease these accidents as much as possible. One key way of decreasing these types of accidents is by monitoring a driver’s eye to track whether a driver is drowsy or not. If a person is drowsy or is falling asleep, he/she will be alerted by means of sound. To solve this we approached this problem by setting up a camera on the driver’s dashboard and then conduct image processing by using OpenCV library to identify whether a driver is fully focused or not and whether it is safe enough for a driver to continue driving. Fortunately, a pre-trained Viola-Jones classifier comes out-of-the-box with OpenCV library. Where, The ViolaJones algorithm is a system for object recognition that enables real-time detection of image features. By going through four different phases this algorithm detects the face and tracks the eye really conveniently with an efficient accuracy rate. In ViolaJones algorithm two pre-processing techniques, along with the three functions, were evaluated and compared. Faiaz Hossain Chowdhury Muhtasim Al Buyes Shetab Quazi Mohimenul Haque MD. Nazif Ali B. Computer Science 2021-10-21T06:58:44Z 2021-10-21T06:58:44Z 2021 2021-01 Thesis ID 18201123 ID 17101092 ID 17101086 ID 17101437 http://hdl.handle.net/10361/15512 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. 25 pages application/pdf Brac University |
| institution |
Brac University |
| collection |
Institutional Repository |
| language |
English |
| topic |
Driver awareness Drowsy driving Face detection Viola-Jones OpenCV Drowsy driving |
| spellingShingle |
Driver awareness Drowsy driving Face detection Viola-Jones OpenCV Drowsy driving Chowdhury, Faiaz Hossain Shetab, Muhtasim Al Buyes Haque, Quazi Mohimenul Ali, MD. Nazif Monitoring driver awareness through eye tracking |
| description |
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021. |
| author2 |
Arif, Hossain |
| author_facet |
Arif, Hossain Chowdhury, Faiaz Hossain Shetab, Muhtasim Al Buyes Haque, Quazi Mohimenul Ali, MD. Nazif |
| format |
Thesis |
| author |
Chowdhury, Faiaz Hossain Shetab, Muhtasim Al Buyes Haque, Quazi Mohimenul Ali, MD. Nazif |
| author_sort |
Chowdhury, Faiaz Hossain |
| title |
Monitoring driver awareness through eye tracking |
| title_short |
Monitoring driver awareness through eye tracking |
| title_full |
Monitoring driver awareness through eye tracking |
| title_fullStr |
Monitoring driver awareness through eye tracking |
| title_full_unstemmed |
Monitoring driver awareness through eye tracking |
| title_sort |
monitoring driver awareness through eye tracking |
| publisher |
Brac University |
| publishDate |
2021 |
| url |
http://hdl.handle.net/10361/15512 |
| work_keys_str_mv |
AT chowdhuryfaiazhossain monitoringdriverawarenessthrougheyetracking AT shetabmuhtasimalbuyes monitoringdriverawarenessthrougheyetracking AT haquequazimohimenul monitoringdriverawarenessthrougheyetracking AT alimdnazif monitoringdriverawarenessthrougheyetracking |
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