MARC details
| 000 -LEADER |
| fixed length control field |
03457nam a22003497a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20240923110155.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
240923b |||||||| |||| 00| 0 eng d |
| 040 ## - CATALOGING SOURCE |
| Original cataloging agency |
TUPM |
| Language of cataloging |
TUPM |
| Transcribing agency |
TUPM |
| Description conventions |
rda |
| 050 ## - LIBRARY OF CONGRESS CALL NUMBER |
| Classification number |
BTH QA 76.9 |
| Item number |
G85 2024 |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Guiriba, Sean Derick B. |
| Relator term |
author |
| 245 ## - TITLE STATEMENT |
| Title |
Development of an automated donation machine using image processing/ |
| Statement of responsibility, etc. |
Sean Derick B. Guiriba, Trizia Angela Noerene Haduca, Judd M. Medroso, Ian Frederick Y. Mosquera, and Ysmael N. Santillan .-- |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. |
| Place of publication, distribution, etc. |
Manila: |
| Name of publisher, distributor, etc. |
Technological University of the Philippines, |
| Date of publication, distribution, etc. |
2024. |
| 300 ## - PHYSICAL DESCRIPTION |
| Extent |
xi, 111pages: |
| Dimensions |
28cm. |
| Accompanying material |
+1 CD ROM (3/4 in.) |
| 336 ## - CONTENT TYPE |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
| Source |
rdacarrier |
| 500 ## - GENERAL NOTE |
| General note |
Thesis (undergraduate) |
| 502 ## - DISSERTATION NOTE |
| Dissertation note |
College of Industrial Technology; |
| Degree type |
Bachelor of Engineering Technology major in Computer Engineering Technology: |
| Name of granting institution |
Technological University of the Philippines, |
| Year degree granted |
2024. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
| Bibliography, etc. note |
Includes bibliography |
| 520 ## - SUMMARY, ETC. |
| Summary, etc. |
Expired donations present a challenge for charitable organizations. Although donations of goods are altruistic, expiration dates introduce complications. Items past their expiration cannot be distributed, resulting in resource wastage and additional burdens for charities sorting through unusable donations. While OCR performs admirably in handling donation receipts containing text, it falls short when it comes to<br/>expired goods. Given that expiration dates are typically printed directly on the products, implementing image recognition technology tailored to identify these dates could enhance sorting efficiency for charities managing donated items. Existing studies have concentrated on utilizing image processing for categorizing donated items. Our research fills a crucial void by focusing on the difficulty of identifying expiration dates on donated goods through image recognition techniques. An ISO 25010:2011-aligned survey addressing functionality, performance efficiency, reliability, usability, and portability was used to assess the study, involving twenty individuals from diverse backgrounds. Results showed that the Automated Donation Machine using Image Processing effectively addresses the challenge of identifying expiration dates on donated goods. By leveraging image recognition technology, the system enhances sorting efficiency for charitable organizations, thereby reducing resource wastage and the burden of handling unusable donations. The survey, conducted according to ISO 25010:2011 standards, demonstrated the project's effectiveness and user satisfaction. The prototype received an overall rating of 4.4802, classified as "Very Good," with high marks across all evaluated categories: functionality (4.56), performance efficiency (4.361), reliability (4.38), portability (4.59), and usability (4.61). These ratings underscore the system's robust performance and its potential to significantly improve the donation management process for charities.<br/><br/>Keywords: image processing, OCR, donation, expiration date, automated |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Computer engineering |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Donation materials management system |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Management system |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Sorting system |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Image processing |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Haduca, Sean Derick B. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Medroso, Judd M. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Mosquera, Ian Frederick Y. |
| Relator term |
author |
| 700 ## - ADDED ENTRY--PERSONAL NAME |
| Personal name |
Santillan, Ysmael N. |
| Relator term |
author |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
| Source of classification or shelving scheme |
Library of Congress Classification |
| Koha item type |
Bachelor's Thesis CIT |
| Suppress in OPAC |
No |