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International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2930
AUTOMATED WASTE SEGREGATOR SYSTEM
Suganbabu C 1, Vignesh G 2, Vignesh Raj N 3, Saranya G 4
1, 2, 3Student, Department of Electronics and Communication Engineering, KCG College of Technology, Chennai,
India.
4Assistant Professor, Department of Electronics and Communication Engineering, KCG College of Technology,
Chennai, India.
-----------------------------------------------------------------------***------------------------------------------------------------------------
Abstract - In recent times, disposal has become an
enormous problem within the world. There are large
scale industrial waste segregators present, it's always
far better to segregate the waste at the source itself.
Presently, there's no automated system for segregation
of wastes in household level. This paper shows the event
of low-cost recycle bin that automatically separates the
wastes consistent with their types in household level.
Keywords—waste segregator, automated waste
segregator
1. INTRODUCTION
Global Waste Management Market reported that the
number of waste generated worldwide is 2.02 billion
tones. Solid waste management has become one among
the most issues in both urban and rural areas
everywhere the planet. “Wastes aren't always waste if
it's segregated because it was”. The value of waste is
best comprehended when it's segregated. To properly
manage the waste, it's to be handled, segregated,
transported and disposed so on reduce the risks to the
general public lives and sustainable environmental.
Waste management is a crucial requirement for
ecologically sustainable development in many
countries. There is a rapid increase in capacity and
categories of solid waste as a results of urbanization,
constant economic process and industrialization.
Currently there is no such system employed of
segregation of paper, plastic, wet and metallic wastes
at household level. This work presented here gives a
novel approach in handling and disposing of the daily
solid wastes in an efficient method. In this proposed
model we use different sensors for detecting different
waste material.
Several advancements in technology has also
allowed the refuse to be processed into useful entities
like Waste to Energy. When the waste is segregated
into basic streams like wet, dry and metallic, the waste
features a better potential of recovery, and
consequently, recycled and reused. The wet waste
fraction is usually converted either into compost or
methane-gas or both. Compost can replace demand for
chemical fertilizers, and biogas are often used as a
source of energy. The metallic waste could be reused or
recycled. The purpose of this project is that the belief
of a Compact, low cost and user-friendly segregation
system for urban households.
2. BLOCK DIAGRAM
Fig – 1: Block diagram for Automated Waste Segregator
System
2.1 Arduino Mega
The main reason behind why we choose Arduino mega
is the additional features that are inbuilt with this board.
First feature is that the large I/O system design with inbuilt
16 analog transducers and 54 digital transducers that
supports with USART and other communication modes.
Secondly, its inbuilt RTC and other features like analog
comparator, advanced timer, interrupt for controller
wakeup mechanism to save lots of more power and fast
speed with 16 MHz crystal clock to get 16 MIBS. It has more
than 5 pins for VCC (5v) and GND to connect other devices
to Arduino Mega. It supports ICSP as well as USB
microcontroller programming with PC. This is used to
control the hardware process by software (Arduino code).
2.2 Inductive Proximity Sensor
An inductive proximity sensor can detect metal targets
approaching the sensor, without physical contact with the
target. Inductive Proximity Sensors are roughly classified
into the following three types according to the operating
principle: the high- frequency oscillation type using
electromagnetic induction, the magnetic type using a
magnet, and therefore the capacitance type using the
change in capacitance. The output of the proximity sensor
is given to the relay module and the output of the relay
module is connected to Arduino.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2931
2.3 Capacitive Proximity Sensor
Capacitive proximity sensors are almost like
inductive proximity sensors. The main difference between
the two types is that capacitive proximity sensors produce
an electric field rather than an electromagnetic field.
Capacitive proximity switches will sense metal also as
nonmetallic materials like paper, glass, liquids, and cloth.
The Sensing range is 3-5 CMs. Using the data of that sensor
we can detect only paper by modifying the Arduino code
for capacitive sensor.
2.4 Moisture Sensor
Moisture Sensor is employed to differentiate between the
dry waste and wet waste. We are using a raindrop sensor
to detect the moisture content level in waste material. And
the output of the raindrop sensor is directly given to the
Arduino. Using the info of that sensor we will detect wet
and dry waste separately by modifying the Arduino code
for raindrop sensor.
2.5 Servo Motor
A servomotor may be a positioner or linear
actuator that permits for precise control of angular or
linear position, velocity and acceleration. It consists of an
appropriate motor coupled to a sensor for position
feedback. It also requires a comparatively sophisticated
controller, often a fanatical module designed specifically to
be used with servomotors. We are using one 3KGs servo
motor for rotating the sensor board based on type of the
waste materials and two 3KGs servo motors rotated 40
degrees simultaneously to drop the waste in the bin. We
use a separate 6V power supply for driving the servo
motors.
2.6 LCD Display
An LCD display is attached to the setup which
would display the types of waste that detect in the sensor
and display the bins level. We use an I2C LCD module to
interface LCD with Arduino.
2.7 IR Sensor
We use four IR sensors to continuously monitor
the bin levels and notify the user whether the bin is filled
or not. If the bin is filled the IR sensor give signal to the
arduino and the arduino switch on the LED.
2.8 LASER AND LDR Module
Laser and Light Dependent Resistor Module is used to
differentiate between paper and plastic waste material.
Laser and LDR are placed directly opposite to each other
and the LDR is connected to Arduino. When the beam is
interrupted the LDR is output value is decreased if there's
no interrupt the LDR value Remain high. Using this
property, we will identify between paper and plastic.
2.9 SMPS
We used switch mode power supply (SMPS) to
convert the 230V AC power to 12V DC supply and then the
12V DC supply directly connected to the proximity sensors.
And Using Regulated ICs the 12V DC supply is converted
into 6V DC supply for servo motors.
3. CIRCUIT DIAGRAM
Fig – 2: Circuit diagram for Automated Waste
Segregator System
4. WORKING
Initially all the servo motors are set to the home
position and all the sensor are switched on. When the
garbage dropped on the sensing board all the sensors sense
the waste and give the sensed output to the Arduino. And
the Arduino analysis the outputs to find the appropriate
waste material type. Once the waste material is identified
then servo motor rotate predefined angle to put the waste
in the appropriate bin.
In this proposed model we try to differentiate four
waste materials namely wet, metal, plastic andpaper. And
we use four different sensors to identify the waste material.
Raindrop sensor for detecting the wet waste its sense the
moisture level of the wastes and determine the waste type.
If the waste is wet waste then servo motor rotates the
sensing board to 30 degrees and it drops directly into the
wet bin.
Inductive proximity sensor for detecting the metal
waste it only senses the metal waste. When the metal
reaches the sensing are of the sensor then the relay is
switched on and the signal is given to the Arduino. If the
waste is metal waste (inductive proximity sensor) then
servo motor rotates the sensing board to 60 degrees and it
drops directly into the metal bin.
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072
© 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2932
Laser and Light Dependent Resistor module is
used to differentiate plastic and paper waste. Paper block
the Laser beam and the plastic allow the beam to pass
through using this property we can easily identify the
waste material. If LDR value is high then the sensing board
rotated by 90 degrees and directly drop into the plastic
bin. If the LDR value is low then the sensing board is
rotated by 120 degrees and drop into the paper bin.
After completing each round, the servo motor
comes to the home position and LCD display the current
waste type. And we have four IR sensor for continuously
monitoring the bin level if the bin s filled then the IR
sensor give the signal to the Arduino and the Arduino
notify the user using LED.
5. RESULT
Fig – 3: Model
Fig – 4: Automated Waste Segregator System
6.CONCLUSIONS
In this paper, the development of automated waste
segregator system is presented to effectively sort waste
according to its base. During the process of development,
the bin prototype and sensing mechanism are integrated
with an Arduino Mega microcontroller. It is a low-cost
system and it requires less amount of power supply.
Implementation of this system at a local level like
societies, educational institutes, etc. can reduce the burden
on the local authorities. The automatic waste segregator is
one small step towards building an efficient and economic
waste collection system with a minimum amount of human
intervention and also no hazard to human life.
REFERENCES
[1] Gupta, Nimisha S., et al. "Automatic Waste
Segregation." 2018 Second International
Conference on Intelligent Computing and Control
Systems (ICICCS). IEEE, 2018.
[2] Sharanya, A., et al. "Automatic waste segregator."
2017 International Conference on Advances in
Computing, Communications and Informatics
(ICACCI). IEEE, 2017.
[3] Harnani hassan., et al. “A Low-Cost Automated
Sorting Recycling Bin”, 2018 IEEE Conference on
Systems, Process and Control (ICSPC). IEEE, 2018.
[4] Rafeeq, Mohammed, and Sanjar Alam.
"Automation of plastic, metal and glass waste
materials segregation using arduino in scrap
industry." 2016 International Conference on
Communication and Electronics Systems (ICCES).
IEEE, 2016.
[5] Dwivedi, Subhasini, et al. "A Review on PLC based
Automatic Waste Segregator." International
Journal of Advanced Research in Computer
Engineering & Technology (IJARCET) 5.2 (2016).
IEEE 2016.
[6] Ahamad, Nurul Nazihah, et al. "Discrimination of
Residual and Recyclable Household Waste for
Automatic Waste Separation System." 2018 7th
International Conference on Computer and
Communication Engineering (ICCCE). IEEE, 2018.
[7] Chandramohan, Amrutha, et al. "Automated waste
segregator." 2014 Texas Instruments India
Educators' Conference (TIIEC). IEEE, 2014.

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IRJET - Automated Waste Segregator System

  • 1. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2930 AUTOMATED WASTE SEGREGATOR SYSTEM Suganbabu C 1, Vignesh G 2, Vignesh Raj N 3, Saranya G 4 1, 2, 3Student, Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, India. 4Assistant Professor, Department of Electronics and Communication Engineering, KCG College of Technology, Chennai, India. -----------------------------------------------------------------------***------------------------------------------------------------------------ Abstract - In recent times, disposal has become an enormous problem within the world. There are large scale industrial waste segregators present, it's always far better to segregate the waste at the source itself. Presently, there's no automated system for segregation of wastes in household level. This paper shows the event of low-cost recycle bin that automatically separates the wastes consistent with their types in household level. Keywords—waste segregator, automated waste segregator 1. INTRODUCTION Global Waste Management Market reported that the number of waste generated worldwide is 2.02 billion tones. Solid waste management has become one among the most issues in both urban and rural areas everywhere the planet. “Wastes aren't always waste if it's segregated because it was”. The value of waste is best comprehended when it's segregated. To properly manage the waste, it's to be handled, segregated, transported and disposed so on reduce the risks to the general public lives and sustainable environmental. Waste management is a crucial requirement for ecologically sustainable development in many countries. There is a rapid increase in capacity and categories of solid waste as a results of urbanization, constant economic process and industrialization. Currently there is no such system employed of segregation of paper, plastic, wet and metallic wastes at household level. This work presented here gives a novel approach in handling and disposing of the daily solid wastes in an efficient method. In this proposed model we use different sensors for detecting different waste material. Several advancements in technology has also allowed the refuse to be processed into useful entities like Waste to Energy. When the waste is segregated into basic streams like wet, dry and metallic, the waste features a better potential of recovery, and consequently, recycled and reused. The wet waste fraction is usually converted either into compost or methane-gas or both. Compost can replace demand for chemical fertilizers, and biogas are often used as a source of energy. The metallic waste could be reused or recycled. The purpose of this project is that the belief of a Compact, low cost and user-friendly segregation system for urban households. 2. BLOCK DIAGRAM Fig – 1: Block diagram for Automated Waste Segregator System 2.1 Arduino Mega The main reason behind why we choose Arduino mega is the additional features that are inbuilt with this board. First feature is that the large I/O system design with inbuilt 16 analog transducers and 54 digital transducers that supports with USART and other communication modes. Secondly, its inbuilt RTC and other features like analog comparator, advanced timer, interrupt for controller wakeup mechanism to save lots of more power and fast speed with 16 MHz crystal clock to get 16 MIBS. It has more than 5 pins for VCC (5v) and GND to connect other devices to Arduino Mega. It supports ICSP as well as USB microcontroller programming with PC. This is used to control the hardware process by software (Arduino code). 2.2 Inductive Proximity Sensor An inductive proximity sensor can detect metal targets approaching the sensor, without physical contact with the target. Inductive Proximity Sensors are roughly classified into the following three types according to the operating principle: the high- frequency oscillation type using electromagnetic induction, the magnetic type using a magnet, and therefore the capacitance type using the change in capacitance. The output of the proximity sensor is given to the relay module and the output of the relay module is connected to Arduino.
  • 2. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2931 2.3 Capacitive Proximity Sensor Capacitive proximity sensors are almost like inductive proximity sensors. The main difference between the two types is that capacitive proximity sensors produce an electric field rather than an electromagnetic field. Capacitive proximity switches will sense metal also as nonmetallic materials like paper, glass, liquids, and cloth. The Sensing range is 3-5 CMs. Using the data of that sensor we can detect only paper by modifying the Arduino code for capacitive sensor. 2.4 Moisture Sensor Moisture Sensor is employed to differentiate between the dry waste and wet waste. We are using a raindrop sensor to detect the moisture content level in waste material. And the output of the raindrop sensor is directly given to the Arduino. Using the info of that sensor we will detect wet and dry waste separately by modifying the Arduino code for raindrop sensor. 2.5 Servo Motor A servomotor may be a positioner or linear actuator that permits for precise control of angular or linear position, velocity and acceleration. It consists of an appropriate motor coupled to a sensor for position feedback. It also requires a comparatively sophisticated controller, often a fanatical module designed specifically to be used with servomotors. We are using one 3KGs servo motor for rotating the sensor board based on type of the waste materials and two 3KGs servo motors rotated 40 degrees simultaneously to drop the waste in the bin. We use a separate 6V power supply for driving the servo motors. 2.6 LCD Display An LCD display is attached to the setup which would display the types of waste that detect in the sensor and display the bins level. We use an I2C LCD module to interface LCD with Arduino. 2.7 IR Sensor We use four IR sensors to continuously monitor the bin levels and notify the user whether the bin is filled or not. If the bin is filled the IR sensor give signal to the arduino and the arduino switch on the LED. 2.8 LASER AND LDR Module Laser and Light Dependent Resistor Module is used to differentiate between paper and plastic waste material. Laser and LDR are placed directly opposite to each other and the LDR is connected to Arduino. When the beam is interrupted the LDR is output value is decreased if there's no interrupt the LDR value Remain high. Using this property, we will identify between paper and plastic. 2.9 SMPS We used switch mode power supply (SMPS) to convert the 230V AC power to 12V DC supply and then the 12V DC supply directly connected to the proximity sensors. And Using Regulated ICs the 12V DC supply is converted into 6V DC supply for servo motors. 3. CIRCUIT DIAGRAM Fig – 2: Circuit diagram for Automated Waste Segregator System 4. WORKING Initially all the servo motors are set to the home position and all the sensor are switched on. When the garbage dropped on the sensing board all the sensors sense the waste and give the sensed output to the Arduino. And the Arduino analysis the outputs to find the appropriate waste material type. Once the waste material is identified then servo motor rotate predefined angle to put the waste in the appropriate bin. In this proposed model we try to differentiate four waste materials namely wet, metal, plastic andpaper. And we use four different sensors to identify the waste material. Raindrop sensor for detecting the wet waste its sense the moisture level of the wastes and determine the waste type. If the waste is wet waste then servo motor rotates the sensing board to 30 degrees and it drops directly into the wet bin. Inductive proximity sensor for detecting the metal waste it only senses the metal waste. When the metal reaches the sensing are of the sensor then the relay is switched on and the signal is given to the Arduino. If the waste is metal waste (inductive proximity sensor) then servo motor rotates the sensing board to 60 degrees and it drops directly into the metal bin.
  • 3. International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 07 Issue: 03 | Mar 2020 www.irjet.net p-ISSN: 2395-0072 © 2020, IRJET | Impact Factor value: 7.34 | ISO 9001:2008 Certified Journal | Page 2932 Laser and Light Dependent Resistor module is used to differentiate plastic and paper waste. Paper block the Laser beam and the plastic allow the beam to pass through using this property we can easily identify the waste material. If LDR value is high then the sensing board rotated by 90 degrees and directly drop into the plastic bin. If the LDR value is low then the sensing board is rotated by 120 degrees and drop into the paper bin. After completing each round, the servo motor comes to the home position and LCD display the current waste type. And we have four IR sensor for continuously monitoring the bin level if the bin s filled then the IR sensor give the signal to the Arduino and the Arduino notify the user using LED. 5. RESULT Fig – 3: Model Fig – 4: Automated Waste Segregator System 6.CONCLUSIONS In this paper, the development of automated waste segregator system is presented to effectively sort waste according to its base. During the process of development, the bin prototype and sensing mechanism are integrated with an Arduino Mega microcontroller. It is a low-cost system and it requires less amount of power supply. Implementation of this system at a local level like societies, educational institutes, etc. can reduce the burden on the local authorities. The automatic waste segregator is one small step towards building an efficient and economic waste collection system with a minimum amount of human intervention and also no hazard to human life. REFERENCES [1] Gupta, Nimisha S., et al. "Automatic Waste Segregation." 2018 Second International Conference on Intelligent Computing and Control Systems (ICICCS). IEEE, 2018. [2] Sharanya, A., et al. "Automatic waste segregator." 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI). IEEE, 2017. [3] Harnani hassan., et al. “A Low-Cost Automated Sorting Recycling Bin”, 2018 IEEE Conference on Systems, Process and Control (ICSPC). IEEE, 2018. [4] Rafeeq, Mohammed, and Sanjar Alam. "Automation of plastic, metal and glass waste materials segregation using arduino in scrap industry." 2016 International Conference on Communication and Electronics Systems (ICCES). IEEE, 2016. [5] Dwivedi, Subhasini, et al. "A Review on PLC based Automatic Waste Segregator." International Journal of Advanced Research in Computer Engineering & Technology (IJARCET) 5.2 (2016). IEEE 2016. [6] Ahamad, Nurul Nazihah, et al. "Discrimination of Residual and Recyclable Household Waste for Automatic Waste Separation System." 2018 7th International Conference on Computer and Communication Engineering (ICCCE). IEEE, 2018. [7] Chandramohan, Amrutha, et al. "Automated waste segregator." 2014 Texas Instruments India Educators' Conference (TIIEC). IEEE, 2014.