Application of Internet of Things (IoT) in Coin Counting, Notifying, and Reporting System of Coin-Operated Washing Machines via Mobile Application

Kitjipong Itthithumsakul, Kidsana Wisittiwong, Thanayut Sukchit, Ittiphol Puangchaiya, Pilapan Phonarin, Jaruwan Kanjanasupawan, Somrak Rungwanlapa

Abstract


Abstract : This research aims to apply Internet of Things devices to coin-operated machines, which can install in washing machines. Typical coin-operated machines allow you to count the coins that have been dropped in and receive notifications of problems. The developed system can send data, including checking the value of a currency, amount of coins and notifications through the Internet of Things devices to the cloud storage. The developed mobile application enables the owner to check the amount or quantity of coins in the washing machines and alert the machine of problems as a notification message through the application on mobile devices. Besides, the users conducted business activities, which measured the effectiveness of detecting the coins dropped into the cabinet to classify the value and count the number, a total of 150 times, of which 450 coins were measured with 100 per cent accuracy. In addition, measuring the effectiveness of the notification button press a total of 30 times were carried out with 100 per cent accuracy. Finally, conducted the interoperability test between the coin counting system and notification to store on a cloud system. Besides, data retrieval is reported in mobile applications, including the results of the coin value checked and wrote in Mobile Application are 100 per cent accurate. The coin counting, performance measurement, and interoperability are accurate in 98 per cent. According to research and development of the application of the Internet of Things in the coin counting system, notifications and reporting of coin-operated laundry machines through mobile applications. It found that such a system can be applied, practical and accurate in business processes. It can also gather data to generate information for supporting decision-making in the actual operation of the business.


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