000			03457nam a22003497a 4500
003			OSt
005			20240923110155.0
008			240923b |||||||| |||| 00| 0 eng d
040			_aTUPM _bTUPM _cTUPM _erda
050			_aBTH QA 76.9 _bG85 2024
100			_aGuiriba, Sean Derick B. _eauthor
245			_aDevelopment of an automated donation machine using image processing/ _cSean Derick B. Guiriba, Trizia Angela Noerene Haduca, Judd M. Medroso, Ian Frederick Y. Mosquera, and Ysmael N. Santillan .--
260			_aManila: _bTechnological University of the Philippines, _c2024.
300			_axi, 111pages: _c28cm. _e+1 CD ROM (3/4 in.)
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aThesis (undergraduate)
502			_aCollege of Industrial Technology; _bBachelor of Engineering Technology major in Computer Engineering Technology: _cTechnological University of the Philippines, _d2024.
504			_aIncludes bibliography
520			_aExpired 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 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. Keywords: image processing, OCR, donation, expiration date, automated
650			_aComputer engineering
650			_aDonation materials management system
650			_aManagement system
650			_aSorting system
650			_aImage processing
700			_aHaduca, Sean Derick B. _eauthor
700			_aMedroso, Judd M. _eauthor
700			_aMosquera, Ian Frederick Y. _eauthor
700			_aSantillan, Ysmael N. _eauthor
942			_2lcc _cBTH CIT _n0
999			_c28936 _d28936