IoT-Based Smart Waste Monitoring System

Abstract

The objective of the Smart waste monitoring system is to revolutionize traditional waste collection methods by introducing a technologically enhanced and efficient alternative. By providing real-time monitoring capabilities, this system solves the drawbacks of the previous waste monitoring systems. This project integrates concepts from database management, web development, electronics, and information technology. The interdisciplinary nature of the initiative is reflected in the focus placed on these varied courses. IoT and smart cities research, with a particular emphasis on real-time garbage monitoring, form the project’s foundation. The investigation, which draws on assessments of the literature on trash monitoring systems, identifies shortcomings in the systems that are in place now, including erratic collections, ineffective sensor integration, and a deficiency of automated alerting systems. This project’s methodology, which adheres to the software development life cycle (SDLC), blends objectoriented and structural techniques. This decision guarantees a methodical and thorough development approach. The project seeks to overcome the shortcomings found in the current waste monitoring systems within the framework of the literature review study. The suggested system aims to optimize waste management procedures by using IoT and smart technologies to achieve real-time monitoring, effective waste collection, and automated alerting systems. The necessity for an organized and iterative development process informed the methodology and SDLC model selected for the project. The project seeks to balance efficiency, scalability, and maintainability across the software development life cycle by merging structural and object-oriented approaches. The thorough overview of the system’s functionality includes important use cases such alert production, online interface, data visualization, user authentication, and security measures. The ensuing stages of design and implementation are built upon these use cases.