부산대학교 도서관

The world's population is increasing day by day and the growing population in the developing areas is of political and economic concern. It has direct impact on waste generation. The municipal corporations are facing issues to manage the growing amount of solid waste. Solid waste is harmful for environment as well as human health. There are many existing waste management systems to collect waste but one of the traditional approaches to collect waste is by using trucks sent by Municipal Corporation to every single part of city. These trucks are designed only to collect waste and travels after particular time interval. But the drawback of this traditional system is municipal corporation team manually needs to check the waste is present at particular location or not. Even there is probability that team may miss one of the garbage spots that actually have garbage present. Due to this drawback of existing traditional waste management system, the project proposes an effective and effectual waste management solution. The project introduces an effective system that uses the Unmanned Aerial Vehicle (UAV) movement as a drone to detect garbage, which helps to identify places contaminated with waste and sends an alert message to waste management system. This project uses the concepts of deep learning algorithm for detection of waste. It sends the geographical coordinates of the garbage location as a notification to the person-in-charge of particular waste management system. [ABSTRACT FROM AUTHOR]