IoT-Based Banknotes Saving Automation System

Anggunmeka Luhur Prasasti, Reza Septiawan, M. H. Alfarisi
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Abstract

Many problems occur with traditional savings, such as users not knowing the nominal amount that has been saved later, and the authenticity of the money saved. To overcome this problem, the "Savings Storage Automation System with IoT-Based Banknotes" tool was created, this tool aims to help users save money easily and safely. The system design is based on Arduino Mega. The inputs on the Arduino Mega consist of a GY-33 TCS34725 as a color sensor and a keypad to perform functions. The output produced is in the form of nominal data of banknotes that can be seen by the user through an LCD and sent to a database, checking the authenticity of the money is done manually by using ultraviolet. The method used to identify the nominal banknotes is based on the reading of each RGB value and color temperature on each nominal banknote. The average accuracy of reading currency values on real banknotes reaches 88%, while in testing counterfeit banknotes it is 14%. Testing execution time when entering money into savings is 3.57 seconds and data to the database is 6.57 seconds.
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基于物联网的存钞自动化系统
传统储蓄存在许多问题,例如用户不知道后来节省的名义金额,以及节省的资金的真实性。为了解决这个问题,“基于物联网钞票的储蓄存储自动化系统”工具被创建,该工具旨在帮助用户轻松安全地存钱。系统设计基于Arduino Mega。Arduino Mega的输入由GY-33 TCS34725作为颜色传感器和执行功能的键盘组成。所产生的输出是钞票标称数据的形式,用户可以通过LCD看到并发送到数据库,使用紫外线手动检查钞票的真伪。用于识别标称纸币的方法是基于每个标称纸币上的RGB值和色温的读数。在真钞上读取币值的平均准确率达到88%,而在假钞上测试的平均准确率为14%。将钱存入储蓄的测试执行时间为3.57秒,将数据存入数据库的测试执行时间为6.57秒。
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