| 000 -LEADER |
|---|
| fixed length control field |
02543nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
FT8834 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20251128130050.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
251128b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
|---|
| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
TK7885 B37 2022 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Edition number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Baston, Marc Russell A.; Fadriquela, Marc Michael S.; Malabanan, John Benedict D.; Relano, Brix Ian D.; Reyes, Ravid Phelps M.; Sy, Aaron Jacob A. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
IoT-based drowsiness detection and prevention system using face landmark detection and eye aspect ratio calculation for road freight transport |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2022 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Other physical details |
Design Project: (Bachelor of Science in Computer Engineering) - Pamantasan ng Lungsod ng Maynila, 2022 |
| 336 ## - CONTENT TYPE |
|---|
| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
unmediated |
| Media type term |
unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
ABSTRACT: Drowsiness-related road incidents are common in road freight truck driving due to the nature of the occupation. With extended hours of operation and scheduling issues, there is a high risk of experiencing fatigue and drowsiness during the driver’s shift. This study addressed the problem by implementing Drowsiness Detection, Sleep Prevention, Website Application and Database, and Data Processing System to directly combat drowsiness and communicate the incident to the company. Specifically, this study utilized facial landmark detection and eye aspect ratio calculation to detect drowsiness while Arduino logic programming was used to control the output devices. The concept of WebSocket was used to enable a full-duplex communication channel between the two devices and HTTP POST to send information to the web server. To properly test the accuracy of the whole system, several testing procedures were done in three different setups wherein standby testing was done in environment setup and situational and accuracy testing was done in controlled setup. Most of the actual results matched the expected results in the test scenarios, with nighttime having lighting issues but was disregarded because of the presence of headliner and ambient lights. A test driver survey was conducted, and several suggestions were made such as better build design and placement. In conclusion, the drowsiness detection, and prevention system were successfully accomplished and proved to be effective. On this basis, the problem must be properly addressed to deploy certain wide-scale measures and ultimately prevent road accidents. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
|---|
| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
|---|
| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
|---|
| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |