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The implementation of arduino uno and ultrasonic sensors at trash can based on internet of things using blynk application.
- Source :
-
AIP Conference Proceedings . 2023, Vol. 2734 Issue 1, p1-12. 12p. - Publication Year :
- 2023
-
Abstract
- Increasing population growth has an impact on increasing waste production which is not balanced with the number of trash cans in urban areas. The cleaning staff plays an important role in monitoring the contents of the trash cans so that there is no pile of garbage that can carry various types of diseases. Monitoring the contents of trash cans carried out by cleaning staff at Kuntum Cemerlang School is still done manually, so it takes a long time to monitor all the contents of trash cans in the surrounding environment. If the trash can is empty or contains only a small amount of trash, then this will waste time and cause delays in disposing of waste to the waste bank. The purpose of this research is to implement an Arduino Uno and an ultrasonic sensor based on the Internet of Things (IoT) so that the time spent by cleaners to monitor the contents of trash cans is more effective. The design of the tool starts from an ultrasonic sensor that is connected to an arduino uno based on the internet of things (IoT) using the blynk application service on a smartphone. android. The data from the ultrasonic sensor will be transmitted to database the blynk applicationvia the ESP8266 Wi-Fi Module so that the blynk application will display height information from the contents of the trash can. This study resulted in three conditions of the height of the contents of the trash can, namely: still empty, almost full and already full. If the trash can is full, the janitor will receive an email and the led light on the blynk application will turn red. System testing was carried out internally using paper waste with the conclusion that the monitoring system carried out in the study was more efficient than manual monitoring. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 0094243X
- Volume :
- 2734
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- AIP Conference Proceedings
- Publication Type :
- Conference
- Accession number :
- 173096798
- Full Text :
- https://doi.org/10.1063/5.0160543