Autonomous waste collecting device for Sugandha point of Cox's bazar sea beach

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Abstract

The issue of waste pollution of the coastal territories is also increasingly becoming a rising problem in Bangladesh, especially at the most popular sites like the Sugandha Point of the Cox's Bazar Sea Beach where tons of plastic and solid waste are becoming a daily occurrence and current means of clean-up is based mostly on manual labor. In this project, the proposal is to design and develop a cheap yet fully autonomous waste collector with the creation of a particular device designed to perform effectively in sandy and salty beaches. The proposed system will include an autonomous rover to identify typical wastes along with AI based computer vision, GPS based covering, ultrasonic and infrared sensors to avoid obstacles and a mechanical mechanism of waste collection in the form of a shovel. Once the waste is detected with the help of a camera and trained machine learning model, the rover is capable of autonomously picking a piece of garbage and placing it into an on-board container, which is emptied at a designated dumping point once full. Various design solutions have been considered, such as a robotic arm and a conveyor belt system, and the shovel mechanism has been chosen because of the simplicity of the mechanism, its lasting capacity, energy- efficiency, and its application in non-even sandy areas. There are experimental findings to prove that the device can be effectively used to clean a predetermined beach area with reducing the cost of operation and less human intervention. The above system can serve as a viable solution to sustainable beach cleaning, and it can place autonomous robotics in an environmentally-sustainable context, especially in developing nations.

Description

Cataloged from PDF version of final year design project.
Includes bibliographical references (pages 98-99).
This final year design project is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Electrical and Electronic Engineering, 2026.

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Project Report