Smart Garbage Monitoring System

Abstract

The rapid increase in urbanization and population has resulted in a significant rise in waste generation, posing a challenge for efficient waste management systems. To address this issue, this study presents a Smart Garbage Monitoring System (SGMS) that utilizes Angular CLI, TypeScript, Arduino Nano, HR sensors, a metal detector, and an IR sensor to provide an intelligent and automated solution for monitoring garbage levels in real-time.The SGMS employs Angular CLI, a web application framework, to develop an intuitive user interface that allows users to access the garbage monitoring system from various devices such as smartphones and computers. TypeScript, a superset of JavaScript, is used for programming the frontend logic, ensuring enhanced maintainability and code reusability. The hardware components of the system include Arduino Nano, HR sensors, a metal detector, and an IR sensor. The Arduino Nano serves as the main controller, responsible for data acquisition and communication. The HR sensors are employed to measure the humidity and temperature levels inside the garbage containers, providing valuable environmental data. The metal detector is used to detect the presence of metallic objects in the garbage, which helps in identifying any potentially harmful or hazardous materials. Additionally, the IR sensor detects the proximity of objects, enabling the system to detect when the garbage container is being filled or emptied. The SGMS operates through a network of interconnected garbage containers, equipped with the aforementioned hardware components. The Arduino Nano collects data from the sensors and communicates it to the central monitoring system using wireless communication protocols such as Wi-Fi or Bluetooth. The collected data, including garbage levels, humidity, temperature, presence of metallic objects, and proximity information, is processed and analyzed in real-time.The monitoring system provides several benefits, including efficient waste management, optimized garbage collection routes, and reduced operational costs. The Smart Garbage Monitoring System presented in this study offers an effective solution for real-time monitoring of garbage levels, leveraging Angular CLI, TypeScript, Arduino Nano, HR sensors, a metal detector, and an IR sensor. This technology can play a vital role in optimizing waste management processes and promoting sustainable practices in urban areas.