NDLI: Automated Trash Sorting Design Based Microcontroller Arduino Mega 2560 with LCD Display and Sound Notification

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Automated Trash Sorting Design Based Microcontroller Arduino Mega 2560 with LCD Display and Sound Notification

Content Provider	Scilit
Author	Wulandari, Enina Wika Vetricha
Copyright Year	2020
Description	Journal: Iop Conference Series: Materials Science and Engineering Waste has been a long serious problem in everyday life. Until now there has been no appropriate way of handling waste problems. The purpose of this research is to create a system of automatic waste sorting with a special design that can ultimately help government programs to create a clean and healthy environment. This research discusses the method of developing waste selection using sensors. There are two types of sensors used, namely inductive proximity sensor and capacitive proximity sensor. The system of the tool created is successful and can run according to the wishes, and works in accordance with its function, which is able to sort metal and non-metallic waste (wet and dry) one by one the type of waste that is inserted, with the size of the determined waste more than 5 cm. The system of this tool can only work, if the inductive proximity sensor is 0-8 mm and the capacitive proximity sensor is 0-12 mm from the object (waste). Percentage of success gained for the sorting of non-metallic waste (dry) is 100%, non-metallic garbage sorting (wet) is 80% and metal garbage sorting is 100% with testing using 2 waste objects tested 5 times for each place of waste sorting. Another test using 2 waste objects with different materials, i.e. metal and non-metal, that further from the test can be concluded that the signal of the inductive proximity sensors and the capacitive proximity sensors will capture and the closest object.
Related Links	https://iopscience.iop.org/article/10.1088/1757-899X/725/1/012054/pdf
ISSN	17578981
e-ISSN	1757899X
DOI	10.1088/1757-899x/725/1/012054
Journal	Iop Conference Series: Materials Science and Engineering
Issue Number	1
Volume Number	725
Language	English
Publisher	IOP Publishing
Publisher Date	2020-01-21
Access Restriction	Open
Subject Keyword	Journal: Iop Conference Series: Materials Science and Engineering Characterization and Testing of Materials Waste Sorting Proximity Sensor
Content Type	Text
Resource Type	Article

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