General Information
    • ISSN: 1793-8201 (Print), 2972-4511 (Online)
    • Abbreviated Title: Int. J. Comput. Theory Eng.
    • Frequency: Quarterly
    • DOI: 10.7763/IJCTE
    • Editor-in-Chief: Prof. Mehmet Sahinoglu
    • Associate Editor-in-Chief: Assoc. Prof. Alberto Arteta
    • Executive Editor: Ms. Mia Hu
    • Abstracting/Indexing: Scopus (Since 2022), INSPEC (IET), CNKI,  Google Scholar, EBSCO, etc.
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Prof. Mehmet Sahinoglu
Computer Science Department, Troy University, USA
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.

IJCTE 2022 Vol.14(4): 174-178 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2022.V14.1325

IoT-Based Sales Reporting Devices

Noppon Manop, Kanyuma Kamata, and Surachai Suksakulchai

Abstract—Vending machines play an important role in selling goods because they do not require a salesperson to service or track sales and can sell indefinitely until the goods run out.  To report the number of items sold and left in the vending machine, it is important to make the trip to the machine and print the report, and it is inconvenient for the vending machine administrator. Therefore, the present study makes use of IoT technologies to track inventory and sales data. The system used ESP32 microcontroller as a main controller and UC-15 module was used as the Internet connection. The system was tested for seven days with ten vending machines that had IoT-based sales reporting devices installed. Throughout the test, all data was transferred to a central server every two minutes, totaling 720 times each day.  From the results of the experiment, it was found that the data can be sent to the server with a success rate of 98.04%.  Twenty employees of Asia Vending Machine Operations Thailand were selected for the satisfaction study, and they were extremely satisfied with the sales report device.

Index Terms—IoT, reporting device, vending device.

Noppon Manop, Kanyuma Kamatam, and Surachai Suksakulchai are with King Mongkut’s University of Technology Thonburi, Thailand (e-mail:,,


Cite:Noppon Manop, Kanyuma Kamata, and Surachai Suksakulchai, "IoT-Based Sales Reporting Devices," International Journal of Computer Theory and Engineering vol. 14, no. 4, pp. 174-178, 2022.

Copyright © 2022 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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