000 03332nam a22003257a 4500
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040 _aTUPM
_bEnglish
_cTUPM
_dTUPM
_erda
050 _aBTH QA 76.9
_bA48 2024
100 _aAlvaro Jr., Danilo E.
_eauthor
245 _aDevelopment of Iot-based touchless vending machine system/
_cDanilo E. Alvaro Jr., Carl David C. Bautista, Jezrael T. Cerezo, John Arnold O. De Leon, and Carlo Martin S. Vergara.
260 _aTechnological University of the Philippines, Manila.
_c2024
300 _axiii, 124 pages.
_c29cm
336 _2rdacontent
337 _2rdamedia
338 _2rdacarrier
500 _aBachelor's thesis
502 _aCollege of Industrial Technology.--
_bBachelor of engineering technology major in computer engineering technology:
_cTechnological University of the Philippines, Manila.
_d2024
504 _aIncludes bibliographic references and index.
520 _aThis paper aimed at developing the design, the creation, the testing, and the evaluation of an IoT-based touchless vending machine system to enhance cleanliness, convenience, and user experience in public spaces, specifically for restroom needs. Physical contact with the machine is the most common in traditional vending machines, and this only helps to raise the risk of spreading bacteria and viruses. Touchless technology is popular in several fields, but there is no evidence yet on its use in vending machines for public hygiene items. This work will fill that gap through the use of QR code scanning and the PayMongo API, enabling secure and instant transactions. The purpose of this work is to advance the research for developing an IoT-based touchless vending machine system that creates QR codes for product selection and payment, ensuring a seamless and enjoyable experience. The system is embedded in an Arduino-compatible microcontroller and a web platform that is connected to the PayMongo payment system. The research included functionality, accuracy, and security testing processes in which the performance metrics of the system were determined with factors like QR code scanning, product selection, proceeding to the payment page, payment verification, product dispensing, item dispensing accuracy, website compatibility, and error handling. Every single test was passed, thus proving the whole system is working correctly. The ISO 25010:2023 criteria were used in the evaluation, with a focus on functional suitability, performance efficiency, compatibility, usability, and user satisfaction. The grand weighted mean of 4.49, with a descriptive rating of “Very Good”, indicates high user satisfaction and effectiveness in providing a touchless, sanitary vending experience. This study helps to advance touchless vending technology by providing an efficient, secure, and user-friendly option for public areas. Keywords: Touchless vending, IoT technology, QR code payment, PayMongo API, Hygiene
650 _aQR code payment,
650 _aTouchless vending,
650 _aIoT technology,
700 _aBautista, Carl David C.
_eauthor
700 _aCerezo, Jezrael T.
_eauthor
700 _aDe Leon, John Arnold O.
_eauthor
700 _aVergara, Carlo Martin S.
_eauthor
942 _2lcc
_cBTH CIT
_n0
999 _c29467
_d29467