IoT Based Segregation of Garbage and Monitoring System Project

IoT Based Garbage Segregation and Monitoring System Project

Segregation of garbage and Monitoring System Project

One of the major problems faced by the world today is proper waste management and Garbage Segregation.

India is the second most populated country in the world, and with the increasing population, pollution is also escalating.

Most of the times, it is seen that garbage and waste products are spilled on top of and around the garbage bins.

This can lead to the spread of various deadly diseases. Also, due to lack of coordination and communication between the municipality workers, garbage collected from streets and households are directly disposed in the dumping grounds.

This way of disposing waste materials is easy but not safe. We can take steps to improve this and make the existing waste management process better.

The first step in doing so is segregating the waste materials at its source into dry waste and wet waste. This can be very helpful in maintaining proper waste management.

 

 

In this project, we propose an IoT based garbage segregator and monitoring system, where the system not only helps in the segregation of waste materials but also monitors the level of waste in the dustbins.

In this system, multiple dustbins and a voice-based assistant are used to help the user out in segregating the waste.

To sense whether a person is present in front of the dustbin or not, a camera module is fitted. Once the camera senses a person in front of it, the voice assistant automatically activates and instructs the user to follow the steps for putting the garbage in the right dustbin.

If the system finds that the dustbins are full, it instructs the user to find another dustbin that is empty. In this way, this system prevents the spillage or scattering of wastes around the dustbin.

This system uses a Raspberry Pi controller, which is connected to a camera and voice module for communication and interaction with the user.

This system used ultrasonic level sensors to detect the level of garbage in the dustbins. Each if these sensors have an LED attached to itself. The controller circuit is connected to the IoT platform with the help of Wi-Fi module.

The Raspberry Pi controller transmits the read data over the internet to the IoT module, to keep monitoring the level of garbage.

The panels for the level sensors can be made by keeping the sensor directly above the dustbins. Once the system finds out that the level is above the maximum level, it alerts the owner that the dustbins are full, and need to be emptied.

In this way, this system helps in garbage segregation and proper waste management with the help of IoT and Raspberry-Pi.

 

Block Diagram

 

IoT based segregation of garbage project

 

Components

  • Raspberry Pi
  • WIFI Module
  • Ultrasonic Level Sensors
  • LED Indicators
  • Camera Module
  • Speaker
  • Wires and Connectors
  • Supporting Frame
  • Buttons & Switches
  • Screws & Bolts
  • Resistors
  • Capacitors
  • Diodes
  • IC
  • Transistors
  • PCB

 

garbage monitoring and segregation project

 

Advantages

  • Effective Garbage Segregation.
  • System gives constant instructions about the next step to the user.
  • Speech Based Operation.
  • Complete automated system.
  • Indicates the level of garbage in the dustbin.

 

Disadvantages

  • Requires Maintenance
  • Requires Power Supply to run
  • Initial Installation charges can be high

 

Applications

  • Households
  • Public places like railway stations, airports, malls, etc.
  • Educational institutions like schools, colleges, etc.
  • Office & Public Places like parks, etc.

 

See alsoWaste Management using IoT makes Collection efficient

 

Let us know what you know more about IoT based Garbage segregation project in the comment section below.

 

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for more projects visit at IoT Projects for Beginners and Final year students

 

Image references and credit:

https://nevonprojects.com/

IoTDunia
IoTDunia is working towards a vision of empowering the youth by providing them with great professional opportunities with Internet of Things to build world class ecosystem.