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FERNANDES DIAS FINAL 4 20 2020 with cert.pdf (1.47 MB)
ETD Abstract Container
Abstract Header
Driver’s Safety Analyzer: Sobriety, Drowsiness, Tiredness, and Focus
Author Info
Fernandes Dias, Claudio
Permalink:
http://rave.ohiolink.edu/etdc/view?acc_num=ysu1587477829716502
Abstract Details
Year and Degree
2020, Master of Science in Engineering, Youngstown State University, Department of Electrical and Computer Engineering.
Abstract
The Driver’s Safety Analyzer was designed after deeply researching over the subject and realizing the need of it in the world. The car safety system, in a whole, is developed to protect the driver from having a car accident. Breaking the safety system in different parts, first, there will be the controlling system that prevents the car from leaving its lane if there is another car in its blind spot. Second, the system which automatically stops the car when approaching a vehicle. Third the system is developed to protect the driver from the car accident, such as the airbags, etc. However, it is known that many car accidents are caused by the driver’s irresponsibility. According to psychologists, the human beings are, by average, overconfident of themselves. They will always assume they are above average (more capable than an ordinary human). This behavior is what pushes the person to commit wrong decisions such as, driving after drinking alcoholic beverages, driving without sleeping, texting while driving, and driving for long periods of hours without resting. The Driver’s Safety Analyzer is developed to possibly solve the overconfidence behavior problem. Using microprocessor, microcomputer, and coding the system can monitor the driver’s behavior and control the environment preventing the driver to commit wrong decisions.
Committee
Coskun Bayrak, PhD (Advisor)
Frank Li, PhD (Advisor)
Faramarz Mossayebi, PhD (Committee Member)
Pages
48 p.
Subject Headings
Computer Engineering
;
Computer Science
;
Electrical Engineering
;
Engineering
;
Experiments
;
Systems Design
Keywords
Electrical Engineering
;
Car Safety
;
Arduino
;
Raspberry Pi
;
Python
;
Facial Recognition
;
Computer Science
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Citations
Fernandes Dias, C. (2020).
Driver’s Safety Analyzer: Sobriety, Drowsiness, Tiredness, and Focus
[Master's thesis, Youngstown State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1587477829716502
APA Style (7th edition)
Fernandes Dias, Claudio.
Driver’s Safety Analyzer: Sobriety, Drowsiness, Tiredness, and Focus.
2020. Youngstown State University, Master's thesis.
OhioLINK Electronic Theses and Dissertations Center
, http://rave.ohiolink.edu/etdc/view?acc_num=ysu1587477829716502.
MLA Style (8th edition)
Fernandes Dias, Claudio. "Driver’s Safety Analyzer: Sobriety, Drowsiness, Tiredness, and Focus." Master's thesis, Youngstown State University, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ysu1587477829716502
Chicago Manual of Style (17th edition)
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Document number:
ysu1587477829716502
Download Count:
773
Copyright Info
© 2020, some rights reserved.
Driver’s Safety Analyzer: Sobriety, Drowsiness, Tiredness, and Focus by Claudio Fernandes Dias is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at etd.ohiolink.edu.
This open access ETD is published by Youngstown State University and OhioLINK.