| 000 -LEADER |
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| fixed length control field |
02462nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ft8845 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251127155805.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251127b ||||| |||| 00| 0 eng d |
| 041 ## - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
engtag |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
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| Classification number |
T58 C38 2024 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Catacutan, Charles T.; Pama, Keith M.; Punzalan, Zilloh R. |
| 245 ## - TITLE STATEMENT |
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| Title |
Cognigun: IoT-integrated firearm safeguarding with YOLOV9 algorithm for forensic analysis |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE |
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| Place of production, publication, distribution, manufacture |
. |
| Name of producer, publisher, distributor, manufacturer |
. |
| Date of production, publication, distribution, manufacture, or copyright notice |
c2024 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Other physical details |
Capstone Project: (Bachelor of Science in Information Technology) - Pamantasan ng Lungsod ng Maynila, 2024 |
| 336 ## - CONTENT TYPE |
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| Source |
text |
| Content type term |
text |
| Content type code |
text |
| 337 ## - MEDIA TYPE |
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unmediated |
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unmediated |
| Media type code |
unmediated |
| 338 ## - CARRIER TYPE |
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| Source |
volume |
| Carrier type term |
volume |
| Carrier type code |
volume |
| 505 ## - FORMATTED CONTENTS NOTE |
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| Formatted contents note |
ABSTRACT: Negligent use of firearms has been a rampant problem in the Philippines, may it be the New Year or the unregulated use of loose firearms. Gun control policies do exists but weak enforcement tends to make these policies inefficient. This leads to the extensive use of illegal firearms, with many being unregistered or lacking proper licensing, and improve firearm handling by both civilians and law enforcement. Due to these factors, the researchers designed CogniGun, and IoT-Integrated firearm safeguarding application that utilizes YOLOv9 algorithm for enhanced, real-time forensic analysis. This system aims to address the challenges faced when it comes to firearm safety and investigation by providing real-time object identification and location through a mobile application. CogniGun utilizes the Arduino 33 IoT as the main microcontroller and the NEO M8N Flight Controller GPS Module as its tracking module. These integrated circuits ensure tracking precision and data processing efficiency. CogniGun also utilizes the use of deep learning architectures for firearm recognition. A biometric authentication system using fingerprint technology was successfully implemented in handguns, addressing concerns related to unauthorized access and firearm misuse. These integrations allow law enforcement officers to conduct forensic ballistics analysis on-site with greater speed and precision. CogniGun was able to encompass the real-time object detection, location, and identification using YOLOv9. CogniGun also works smoothly on mobile phones as stated in a survey for user satisfaction and encompasses the different flaws in the current problems with regards to gun policies. |
| 526 ## - STUDY PROGRAM INFORMATION NOTE |
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| Classification |
Filipiniana |
| 655 ## - INDEX TERM--GENRE/FORM |
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| Genre/form data or focus term |
academic writing |
| 942 ## - ADDED ENTRY ELEMENTS |
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| Source of classification or shelving scheme |
|
| Item type |
Thesis/Dissertation |