Internet of Things Based on Waste Can Monitoring System to Detect Waste Can Capacity

Abstract

Inefficient waste management and transportation can lead to excessive waste accumulation in temporary waste shelters and environmental pollution. Waste cleaning is generally carried out periodically, but the obstacle or challenge is when the fleet to carry out checks is limited. This reduces the performance of cleaners in cleaning garbage cans in different places to be slow or the cleaners cannot detect exactly where the garbage cans are full. One solution to overcome this problem is to apply Internet of Things (IoT) technology in the trash can monitoring system. The method used in this study is an experimental method. This research aims to design and develop an Internet of Things-based trash can monitoring system  that is able to detect waste capacity in real-time. The system uses ultrasonic sensors  to measure the level of fillness of the bin, a microcontroller as a data processor, and an IoT communication module to transmit information over the web. The data obtained is analyzed to provide automatic notifications to  the web to the janitor when the bin is close to maximum or full capacity. The results of the measurement of the tool show that the system is able to accurately detect the condition of the bin and provide real-time status on the website based on the average results of the sensor readings.