MARC details
| 000 -LEADER |
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| fixed length control field |
03493nam a22003257a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20240812133813.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
240812s2024 |||||||| babm 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
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| Original cataloging agency |
TUPM |
| Language of cataloging |
eng |
| Transcribing agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
|---|
| Classification number |
BTH T 58.5 |
| Item number |
A44 2024 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Aleta, Chrystal Zhane H. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Development of Fingerprint-Based Motorbike Ignition System with AI-Enabled Helmet Detection / |
| Statement of responsibility, etc. |
Chrystal Zhane H. Aleta, Ara Lou DM. Ancheta, Wynard I. Dela Rosa, Dave Matthew T. Diaz, Ma. Shaina R. Flocarencia. |
| 264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
|---|
| Place of production, publication, distribution, manufacture |
Manila : |
| Name of producer, publisher, distributor, manufacturer |
Technological University of the Philippines, |
| Date of production, publication, distribution, manufacture, or copyright notice |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
x, 132 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
29 cm. + |
| Accompanying material |
1 CD-ROM (4 3/4 in.) |
| 336 ## - CONTENT TYPE |
|---|
| Source |
rdacontent |
| Content type term |
text |
| 337 ## - MEDIA TYPE |
|---|
| Source |
rdamedia |
| Media type term |
unmediated |
| 338 ## - CARRIER TYPE |
|---|
| Source |
rdacarrier |
| Carrier type term |
volume |
| 500 ## - GENERAL NOTE |
|---|
| General note |
Thesis (Undergraduate) |
| 502 ## - DISSERTATION NOTE |
|---|
| Dissertation note |
College of Science -- |
| Degree type |
Bachelor of Science in Information Technology, |
| Name of granting institution |
Technological University of the Philippines, |
| Year degree granted |
2024. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references. |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
"With the rising number of motorbikes being a primary mode of transportation, comes the<br/>need for enhancing the security of motorbikes and rider’s safety considering that motorbike<br/>theft and accidents have been evident for the past years. This research aimed to develop an<br/>enhanced Motorbike Ignition System advancing to keyless technology and integrating AI- Enabled Helmet Detection. The system allows identification of authorized users through a<br/>Fingerprint Sensor and improves rider’s safety through Artificial Intelligence, made possible<br/>by two controllers, specifically NodeMCU and Raspberry Pi 4B. The fingerprint sensor is<br/>attached to the NodeMCU enabling the motorbike’s electrical system while the Raspberry<br/>Pi is in charge of the Helmet Detection which starts the ignition system. Factoring in that the<br/>fingerprint sensor is affected if the finger is wet/oily and if with soil/rusty. For the helmet<br/>detection, lighting is vital for its functionality. Both conditions should be satisfied, else the<br/>ignition will not start. Adding a layer of security, three (3) consecutive failed attempts of<br/>fingerprint will activate an alarm. For the helmet detection feature, EfficientDet was used as<br/>algorithm. Through Raspbian OS, Google Colab, Tensorflow, Arduino IDE, Thonny IDE<br/>and Python, the software requirements were fulfilled. Datasets were prepared in helmet<br/>detection training ensuring dependability. Model Performance Evaluation showed that the<br/>system’s Mean Average Precision (mAP) is 94.37% while the Average Precision (AP) is<br/>0.9436502, indicating the system’s high precision. The system was also subjected to<br/>different test cases to determine needed improvements. The system was then evaluated by<br/>IT professionals, electricians, and motorists using the TUP evaluation instrument. Majority<br/>of the respondents highly accepted the system in terms of Functionality, Aesthetics, Workability, Durability, Economy and Safety. With a grand weighted mean of 3.59<br/>interpreted as “Highly Acceptable”, the system was able to accomplish its objective, improving the current security of motorbikes and safety of the riders." -- Author's Abstract |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Motorcycles |
| Form subdivision |
Motors |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name entry element |
Fingerprints |
| Form subdivision |
Identification |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Ancheta, Ara Lou DM. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Dela Rosa, Wynard I. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Diaz, Dave Matthew T. |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Flocarencia, Ma. Shaina R. |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis COS |
| Suppress in OPAC |
No |