000			03514nam a22003257a 4500
003			OSt
005			20260615145107.0
008			260615b |||||||| |||| 00| 0 eng d
040			_bEnglish _cTUPM _dTUPM _erda
050			_aBTH TK 870 _bM36 2025
100			_aManaig, Richmond V. _eAuthor
245			_aAutomated Inventory Machine for Loading and Unloading of Rice/ _cRichmond V. Manaig, Gypsy Lyn M. Vista, Clark Denniel V. Velez, Neil Andrei C. Infante, and Charles Cholo F. Jacinto..-
260			_aManila: _bTechnological University of the Philippines, _c2025.
300			_aix, 57 pages: _c29cm.
336			_2rdacontent
337			_2rdamedia
338			_2rdacarrier
500			_aBachelor's Thesis
502			_aCollege of Industrial Technology..- _bBachelor of Engineering Technology Major in Electronics Technology: _cTechnological University of the Philippines, _d2025.
504			_aIncludes bibliographic references and index.
520			_aAccess to staple food such as rice must be convenient, hygienic, and accurate; however, traditional rice retailing methods rely heavily on manual dispensing and handling, which often lead to measurement inaccuracies, contamination risks, and operational inefficiencies. This study addresses the research gap in automated, small-scale rice distribution systems by designing and developing an automated rice vending machine that ensures precise dispensing, reliable payment processing, and real-time inventory monitoring. The primary objective of the study is to improve accuracy, hygiene, and efficiency in rice distribution through automation. The system was developed using an Arduino Mega 2560 microcontroller integrated with coin and bill acceptors, a stepper motor for controlled dispensing, an ultrasonic sensor for inventory monitoring, a GSM module for notifications, and a user interface composed of an LCD and push-button controls. A prototyping approach was employed, followed by experimental testing focusing on dispensing accuracy, payment recognition accuracy, and inventory monitoring reliability. Results showed that the system achieved a 100% pass rate in dispensing accuracy for 0.5 kg, 1 kg, and 2 kg rice selections across nine trials. Inventory monitoring also demonstrated 100% accuracy, with system-recorded values perfectly matching manual measurements. Additionally, the payment system accurately recognized all tested Philippine coin (₱1, ₱5, ₱10, ₱20) and bill denominations (₱20, ₱50, ₱100), achieving a 100% recognition rate under controlled conditions. These findings confirm the system’s reliability, functional correctness, and operational efficiency. The study concludes that the automated rice vending machine is a viable solution for improving food accessibility, minimizing human error, and enhancing hygiene, aligning with the research agendas of the Technological University of the Philippines (TUP), the Department of Science and Technology (DOST), and the United Nations Sustainable Development Goal 2 (Zero Hunger). Keywords: Automated Rice Vending Machine, Arduino-Based System, Inventory Monitoring, Payment Recognition, UN SDG 2
650			_aElectronics Technology
650			_aAutomated Rice Vending Machine
650			_aInventory Monitoring
700			_aVista, Gypsy Lyn M. _eAuthor
700			_aVelez, Clark Denniel V. _eAuthor
700			_aInfante, Neil Andrei C. _eAuthor
700			_aJacinto, Charles Cholo F. _eAuthor
942			_2lcc _cBTH CIT _n0
999			_c31519 _d31518