Drowsiness Detection Using Image Processing [#507175]

Drowsiness Detection Using Image Processing By Hanojhan Rajahrajasingh
2019 | 60 Pages | ISBN: 3346082237 | PDF | 3 MB
Bachelor Thesis from the year 2019 in the subject Engineering - Robotics, grade: 78, University of Sunderland, language: English, abstract: This report explains the final project, driver drowsiness detection system. When a driver doesn't get proper rest, they fall asleep while driving and this leads to fatal accidents. This particular issue demands a solution in the form of a system that is capable of detecting drowsiness and to take necessary actions to avoid accidents. The detection is achieved with three main steps, it begins with face detection and facial feature detection using the famous Viola Jones algorithm followed by eye tracking. By the use of correlation coefficient template matching, the eyes are tracked. Whether the driver is awake or asleep is identified by matching the extracted eye image with the externally fed template (open eyes and closed eyes) based on eyes opening and eyes closing, blinking is recognized. If the driver falling asleep state remains above a specific time (the threshold time) the vehicles stops and an alarm is activated by the use of a specific microcontroller, in this prototype an Arduino is used.

https://rapidgator.net/file/ffcfb7a4121cdb80b6ca8195497cd991/03jur.D.D.U.I.P.rar.html
⚠️ Dead Link ?
You may submit a re-upload request using the search feature.
All requests are reviewed in accordance with our Content Policy.
Significant surge in the popularity of free ebook download platforms. These virtual repositories offer an unparalleled range, covering genres that span from classic literature to contemporary non-fiction, and everything in between. Enthusiasts of reading can easily indulge in their passion by accessing free books download online services, which provide instant access to a wealth of knowledge and stories without the physical constraints of space or the financial burden of purchasing hardcover editions.

Comments (0)
Users of Guests are not allowed to comment this publication.