| 000 -LEADER |
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| fixed length control field |
02350nam a22002417a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
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| control field |
ft8763 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251105141155.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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| fixed length control field |
251105b ||||| |||| 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 |
T58.6 B67 2025 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
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| Classification number |
. |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Borras, Rochelle S.; de la Cruz, Kyleen I.; Odulio, Lorie Ann G. |
| 245 ## - TITLE STATEMENT |
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| Title |
Automated medication tracking and compartmentalized dispensing for senior home care with AI face recognition for patient identification |
| 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 |
c2025 |
| 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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| Source |
unmediated |
| Media type term |
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: This study addresses the critical issue of medication non-adherence among elderly Filipinos inn home care facilities, a problem exacerbated by the nation’s rapidly aging population and strained healthcare resources. With up to 55% of seniors failing to adhere to prescribed medication regimens, leading to severe health complications, this research aims to develop an Arduino-based medicine dispensing device integrated with facial recognition. The innovative device automates medication dispensing based on pre-programmed schedules and dosages, utilizing time scheduling to ensure accurate delivery. A web-based inventory management system complements the device, enabling staff to monitor medicine levels and receive alerts for replenishment. Furthermore, an authentication system employing facial recognition verifies patient identity, preventing medication errors. By addressing the challenges of limited resources and technological gaps in home care, this study seeks to improve medication management, enhance patient safety, and promote the well-being of elderly residents. The research encompasses the design, development, and initial testing of the device, focusing on hardware selection, software development, and AI integration, to provide a practical solution for enhancing medication adherence in elderly care settings. This study conclude that the system significantly improves medication management in senior home care, offering a reliable and accurate solution to medication adherence challenges. |
| 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 |