IOT BAsed Real-time Garbage Level Monitoring System using Raspberry Pi

The current system for waste management includes numerous stages with tremendous man-power. Every time labourers have to visit the garbage bins in the city area to check whether they are filled or not. And if they are filled, garbage bins are collected and disposed at closest landfill. If garbage bi

Project Title

IOT BAsed Real-time Garbage Level Monitoring System using Raspberry Pi

Project Area of Specialization

Internet of Things

Project Summary

The current system for waste management includes numerous stages with tremendous man-power. Every time labourers have to visit the garbage bins in the city area to check whether they are filled or not. And if they are filled, garbage bins are collected and disposed at closest landfill. If garbage bins are not filled, then the man-power invested goes in vain. As the population increases, the waste generated will in turn increase. This leads to filling of garbage bins more frequently and garbage remains unattended for a longer period due to lack of management. We can automate the whole process by monitoring levels of these garbage bins and send the notification once the garbage bin is about to fill. This will drastically reduce the wastage of man-power and would enable us to collect garbage only from those places that are about to overflow. Also, proposed system along with real- time fill level information collected through monitoring platform substantially reduces the overflow of the garbage by informing operators of such instances before they occur.

Project Objectives

Following are the project objectives

1. Design and Development of IOT BAsed Real-time Garbage Level Monitoring System using Raspberry Pi

2. Development of a Web-based Online Monitoring application

Project Implementation Method

The basic idea of the project is to monitor the level of garbage bins in the vicinity in real-time. Once the whole system is installed and power supply is given to the main processing unit i.e. Raspberry pi, it runs the program and activates Ultrasonic sensor. Sensor detects the garbage level in the bins and the result is provided to the server. This provides administrator a visual report of waste level in all the garbage bins on the server dashboard and he can monitor all garbage bin levels from a single location. Also, necessary actions can be taken on those bins whose garbage levels are above the threshold value. This helps in automating the process and reducing the wastage of man-power.

Benefits of the Project

The current system for waste management includes numerous stages with tremendous man-power. Every time labours must visit the garbage bins in the city area to check whether they are filled or not. And if they are filled, garbage bins are collected and disposed at closest landfill. If garbage bins are not filled, then the man-power invested goes in vain. The proposed system is an integration of a processing unit and sensors which help to detect garbage level and send corresponding data to centralized server. This helps to manage the overall garbage bins from a single location. Also, ultrasonic bin level sensors offer the means to have less trucks on the road for less time which means less fuel consumption and less greenhouse gas emission. Fewer truck cluttering up the roads also means less noise, less pollution and less road wear.

Technical Details of Final Deliverable

HARDWARE IMPLEMENTATION

This system consists of Raspberry pi, Ultrasonic sensor, ESP 8266 Wi-Fi Module and Power supply

A. Raspberry pi: Raspberry Pi is a low cost (35 dollar), credit card sized, computer that performs various applications. Some of its main features include 1GB of RAM, 4 USB Ports, General Purpose Input Output pins, Linux support. These features gives programmers a wide range for diverse applications.

B. Ultrasonic sensor: Ultrasonic sensors are used for distance measure using reflection mechanism. As soon as signal is given to the sensor through processing unit, it starts sending waves which reflects back from the waste in garbage bins and received back giving the resultant garbage level.

C. ESP 8266 Wi-Fi Module: ESP 8266 is a Wi-Fi microchip having microcontroller compatibility. It has 64 KB of RAM and 16 GPIO pins.

SOFTWARE IMPLEMENTATION

A. Python: Python programming language is used for the major part of the processing as well as for collecting data from sensors.

B. Django: Django framework is used for backend and frontend purposes.

C. Google Charts: For data visualization, Google Charts API is used. Reports are generated with the help of charts such as Pie Charts, Line Graphs and Bar Graphs.

D. SQLite: For data collection and storage, SQLite database is used.

Final Deliverable of the Project

HW/SW integrated system

Core Industry

IT

Other Industries

Health , Telecommunication

Core Technology

Internet of Things (IoT)

Other Technologies

Cloud Infrastructure

Sustainable Development Goals

Good Health and Well-Being for People, Clean Water and Sanitation, Sustainable Cities and Communities

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com