With the rapid development of countries and the population increase, most countries have fully industrialized and urbanized which has predominantly caused the global waste problem. Poor waste management contributes to environmental pollution, and climate change and directly affects many ecosystems and species. Consequently, this has become a significant global issue which has led people to seek ways to deal with this problem and increasingly concerned about waste management although they still could not have minimized its impact. For solid waste disposal, major problems affect are unscientific and poor technical treatments, improper collection of waste, and ethical problems. To address the above problem areas this research has been conducted to find a solution to produce a smart waste bin to capture the filled level of bins based on the Internet of Things (IoT) with Ultrasonic sensors and an automatic locking system, connected to a waste sorting system using image processing by using a camera, Generated the shortest route for a waste bin that has reached the maximum waste level percentage using machine learning algorithms and visualized in a mobile application interface through a map. Finally, by using a machine learning-related Decision tree algorithm, a time series prediction is carried out on predicting the next waste pickup dates for each waste bin and generated a waste pick-up schedule in the mobile application. The novelty of this researched system is that we can efficiently achieve many solutions for waste mismanagement problems in one platform.

Waste Management Internet of things machine Learning Waste Sorting Time Series prediction