An Alternative to Vending Machines

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dc.citation.epage125
dc.citation.issue2
dc.citation.spage118
dc.contributor.affiliationLviv Polytechnic National University
dc.contributor.authorLozynskyi, Yurii
dc.contributor.authorYurchak, Iryna
dc.coverage.placenameЛьвів
dc.coverage.placenameLviv
dc.date.accessioned2024-02-19T09:44:34Z
dc.date.available2024-02-19T09:44:34Z
dc.date.created2023-02-28
dc.date.issued2023-02-28
dc.description.abstractIn this review article for a smart vending refrigerator, the contours of the future device are thought out and outlined and all its advantages are described. This device will be controlled using Computer Vision and some other features. The main control unit will be Raspberry PI, since it is the best for this device. Also, a web application was developed in which the user registers, and the application itself transmits the user's information through an API that will be developed to communicate with the web server, and the web server will store this information. This article will analyze the systems that have been already on the market and their pros and cons, as well as consider the design, implementation and functionality of a smart vending refrigerator. Also, the paper will consider key requirements for this system, technologies used, and approaches to integration with existing infrastructures. This design plays an important role in providing comfort and productivity in various fields of activity and can be applied in many areas.
dc.format.extent118-125
dc.format.pages8
dc.identifier.citationLozynskyi Y. An Alternative to Vending Machines / Yurii Lozynskyi, Iryna Yurchak // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 8. — No 2. — P. 118–125.
dc.identifier.citationenLozynskyi Y. An Alternative to Vending Machines / Yurii Lozynskyi, Iryna Yurchak // Advances in Cyber-Physical Systems. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 8. — No 2. — P. 118–125.
dc.identifier.doidoi.org/10.23939/acps2023.02.118
dc.identifier.urihttps://ena.lpnu.ua/handle/ntb/61339
dc.language.isoen
dc.publisherВидавництво Львівської політехніки
dc.publisherLviv Politechnic Publishing House
dc.relation.ispartofAdvances in Cyber-Physical Systems, 2 (8), 2023
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dc.relation.referencesS. Mounitha, K. Abishek, M. P. Lalith Prasath, M. M, A. G and K. V, (2023). "Implementation of Codesys Program- ming Using Raspberry-Pi for Weighing Machine Control," 2nd International Conference on Advancements in Electri- cal, Electronics, Communication, Computing and Automa- tion (ICAECA), Coimbatore, India, pp. 1–4, DOI: 10.1109/ICAECA56562.2023.10200669.
dc.relation.referencesV. Jyothi, K. Hanuja, P. Shirisha, R. Avinash and P. Akhil, (2021). "Implementation of Voice Based Hot-Cold Water Dispenser System Using Raspberry Pi 3," Second Interna- tional Conference on Electronics and Sustainable Com- munication Systems (ICESC), Coimbatore, India, pp. 282– 286, DOI: 10.1109/ICESC51422.2021.9532831.
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dc.relation.referencesenM. Mahendru and S. K. Dubey, (2021). "Real Time Object Detection with Audio Feedback using Yolo vs. Yolo_v3," 11th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, pp. 734–740, DOI: 10.1109/Confluence51648.2021.9377064.
dc.relation.referencesenY. -S. Poon, C. -C. Lin, Y. -H. Liu and C. -P. Fan, (2022). "YOLO-Based Deep Learning Design for In-Cabin Monitor- ing System with Fisheye-Lens Camera," IEEE International Conference on Consumer Electronics (ICCE), Las Vegas, NV, USA, pp. 1–4, DOI: 10.1109/ ICCE53296.2022.9730235.
dc.relation.referencesenX. Yu, T. W. Kuan, Y. Zhang and T. Yan, (2022). "YOLO v5 for SDSB Distant Tiny Object Detection," 10th Interna- tional Conference on Orange Technology (ICOT), Shang- hai, China, pp. 1–4, DOI: 10.1109/ICOT56925. 2022.10008164.
dc.relation.referencesenY. Lu, L. Zhang and W. Xie, (2020). "YOLO-compact: An Efficient YOLO Network for Single Category Real-time Object Detection," Chinese Control And Decision Confer- ence (CCDC), Hefei, China, pp. 1931–936, DOI: 10.1109/CCDC49329.2020.9164580.
dc.relation.referencesenW. Yijing, Y. Yi, W. Xue-fen, C. Jian and L. Xinyun, (2021). "Fig Fruit Recognition Method Based on YOLO v4 Deep Learning," 18th International Conference on Electrical Engineering/Electronics, Computer, Telecom- munications and Information Technology (ECTI-CON), Chiang Mai, Thailand, pp. 303–306, DOI: 10.1109/ECTI- CON51831.2021.9454904.
dc.relation.referencesenK. Kishore, S. Khare, V. Uniyal and S. Verma, (2022). "Performance and stability Comparison of React and Flut- ter: Cross-platform Application Development," International Conference on Cyber Resilience (ICCR), Dubai, United Arab Emirates, pp. 1–4, DOI: 10.1109/ICCR56254.2022.9996039
dc.relation.referencesenA. J. Irawan, F. A. T. Tobing and E. E. Surbakti, (2021). "Implementation of Gamification Octalysis Method at De- sign and Build a React Native Framework Learning Appli- cation," 6th International Conference on New Media Stud- ies (CONMEDIA), Tangerang, Indonesia, pp. 118–123, DOI: 10.1109/CONMEDIA53104.2021.9617171.
dc.relation.referencesenX. Zhou, W. Hu and G. -P. Liu, (2020). "React-Native Based Mobile App for Online Experimentation," 39th Chi- nese Control Conference (CCC), Shenyang, China, pp. 4400–4405, DOI: 10.23919/CCC50068.2020.9189636.
dc.relation.referencesenS. Kadrija, A. Memeti and S. Luma-Osmani, (2022). "Development of mobile app through React Native hybrid framework," 11th Mediterranean Conference on Embed- ded Computing (MECO), Budva, Montenegro, pp. 1–6, DOI: 10.1109/MECO55406.2022.9797173.
dc.relation.referencesenN. S. Yamanoor and S. Yamanoor, (2017). "High quality, low cost education with the Raspberry Pi," IEEE Global Humanitarian Technology Conference (GHTC), San Jose, CA, USA, pp. 1–5, DOI: 10.1109/GHTC.2017.8239274.
dc.relation.referencesenT. Parthornratt, N. Burapanonte and W. Gunjarueg, (2016). "People identification and counting system using raspberry Pi (AU-PiCC: Raspberry Pi customer counter)," Interna- tional Conference on Electronics, Information, and Com- munications (ICEIC), Danang, Vietnam, pp. 1–5, DOI: 10.1109/ELINFOCOM.2016.7563020.
dc.relation.referencesenS. Mounitha, K. Abishek, M. P. Lalith Prasath, M. M, A. G and K. V, (2023). "Implementation of Codesys Program- ming Using Raspberry-Pi for Weighing Machine Control," 2nd International Conference on Advancements in Electri- cal, Electronics, Communication, Computing and Automa- tion (ICAECA), Coimbatore, India, pp. 1–4, DOI: 10.1109/ICAECA56562.2023.10200669.
dc.relation.referencesenV. Jyothi, K. Hanuja, P. Shirisha, R. Avinash and P. Akhil, (2021). "Implementation of Voice Based Hot-Cold Water Dispenser System Using Raspberry Pi 3," Second Interna- tional Conference on Electronics and Sustainable Com- munication Systems (ICESC), Coimbatore, India, pp. 282– 286, DOI: 10.1109/ICESC51422.2021.9532831.
dc.relation.referencesenLys, R., Opotyak Y., (2023). Development of a Video Surveillance System for Motion Detection and Object Recognition "Advances in the cyber-physical system" – vol.8, num. 1. pp.50–56. DOI: https://doi.org/10.23939/acps2023.01.050
dc.relation.urihttps://doi.org/10.23939/acps2023.01.050
dc.rights.holder© Національний університет “Львівська політехніка”, 2023
dc.rights.holder© Lozynskyi Y., Yurchak I., 2023
dc.subjectvending machine
dc.subjectYOLO
dc.subjectfog computing
dc.subjectcloud computing
dc.subjectRPI
dc.titleAn Alternative to Vending Machines
dc.typeArticle

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Advances In Cyber-Physical Systems. – 2023. – Vol. 8, No. 2