Waste Management System using Waste Classification on Mobile Application

Abstract

Waste classification is an important problem for environmental management at the university because the amount of waste is in line with the number of students. Maejo University has a vision of being a green university; therefore, it places importance on waste management, starting with the process of separating waste into 10 types of 4 trash bins, which are: the blue bin is general waste, the yellow bins are recycling bins, the green bins are wet and biodegradable, and the red bins are hazardous. The inspection of each type of waste bin was studied by comparing five prototype models with the pre-train model, consisting of MobileNetV2, InceptionV3, ResNet34, VGG16, and CNN, to develop a mobile application. It was found that the MobileNetV2 model had the highest validation results. Then, the mobile application was used to inspect the waste, and the amount of waste was sorted from the largest to the smallest, namely, green bins for wet waste, yellow bins for general waste, blue bins for recyclables, and red bins for hazardous waste.