Driver's attention monitoring system with low light capability
Date of Publication
2017
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Oswald Sapang
Defense Panel Chair
Melvin K. Cabatuan
Defense Panel Member
Reggie C. Gustilo
Jose Martin Maningo
Abstract/Summary
The study aims to aid in solving the problems brought by drowsy and distracted driving. The driver monitoring system will measure the rate and duration of the drivers blinking, yawning, and head turning. The program would be coded with C++ using QtCreator and compiled with gcc. The processing would be done with a Linux machine where the camera is connected to. The camera is equipped with an infrared illuminator that would serve as the medium for the low-light capability of the system. Additionally, an android application would be used hand in hand with the program that would not only serve as a control mechanism of the driver for the program, but would also serve as the alarm system to alert the driver of their current condition. The driver's actions and conditions would be determined by the algorithm set by the program. Thresholds and time limits can be set to provide better readings and more consistent readings from each driver using the program. The alarm system would trigger when certain conditions are met, in turn, this would keep the driver alert and reminded how they are faring while driving. With numerous tests, results became much better and over time, the researchers reached an efficiency and effectiveness of up to 95%. These efforts lead to solving the problem tackled by the researchers.
Abstract Format
html
Language
English
Format
Accession Number
TU21949
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
xvii, 130 leaves : illustrations (some color) ; 28 cm.
Keywords
Feedback control systems; Automobile driving; Automobile driving--Human factors
Recommended Citation
Co, M., Magano, M., Salting, K., & Sazon, J. (2017). Driver's attention monitoring system with low light capability. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/7629