Waste management system using deep learning model

Zaidi, Mohd Qamil Harith (2022) Waste management system using deep learning model. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Waste collection is an important part of city management. Garbage bins are the initial component of any waste management system. To develop a superior waste management system, it is necessary to do research and analysis on the architecture of the deep learning model. This title provides a way in which waste management can open the trash bin depending on the garbage it observes via the raspberry pi camera. The suggested system would open the appropriate trash bin based on the waste type determined by the trained model using real-time object identification and classifications performed with deep learning. The suggested system is comprised of a Pi Camera, Servo Motors, and a Raspberry Pi 4 that controls the functioning of the device. The anticipated goal of this project is to determine the optimal deep learning architecture for waste identification and to improve the accuracy of the deep learning model.

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