IRJET- Smart Bin

International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056
Volume: 06 Issue: 02 | Feb 2019 www.irjet.net p-ISSN: 2395-0072
© 2019, IRJET | Impact Factor value: 7.211 | ISO 9001:2008 Certified Journal | Page 1834
Smart Bin
Monika Kale1, Pallavi Gaikwad2, Shravani Kulkarni3, Vaibhav Sonkamble4
1,2,3,4 B.E., Student, Department of Information Technology, P.E.S. Modern College of Engineering, Pune-05.
---------------------------------------------------------------------***----------------------------------------------------------------------
Abstract - In the recent decades,Urbanizationhasinflated
enormously. At part there's a rise in waste production.
Waste management has been an important issue to be
thought-about. This paper is an attempt to improve the
modern day waste management system. In the proposed
paper, The Smart bin is made on a microcontroller-based
platform Arduino Uno board that is interfaced with GSM
Modem and Ultrasonic Sensor. Ultrasonic sensorisplacedat
the summit of the bin which is able to measure the stature of
the bin. Arduino is programmed in such the way that once
the bin is at threshold level, it sends a message to the server
about the status of the bin. Once the waste reaches the
threshold level, Ultrasonic Sensor activates the GSM Modem
which in turn alert’s the specified authority till the waste
within the bin is cleared. Once the bin is cleared, People can
again use the bin. At regular intervals bin are cleared. Once
the Smart Bins are implemented on large scale, the
traditional way of collecting waste and garbage will be
eliminated. Foul smell from these rotten wastes that stay
untreated for a prolonged time, could cause health issues.
Breeding of insects and mosquitoes will produce nuisance
around promoting unclean atmosphere. This might even
cause dreadful diseases. All this type of phenomenon can be
avoided with the help of Smart Bin.
Key Words: Arduino Uno, GSM Modem, Time Series
Analysis, Ultrasonic Sensor.
1. INTRODUCTION
Improper waste management easily paves route for air
pollution and soil contamination which in turn poses
adverse effect to health of mankind and in addition to
environmental deteriorations. A Survey made by a top
magazine in India have apparently proven that Garbage
Accumulation is the prime reason behind the hazardous air
pollution in Guwahati,anAssameseTownship.Thispollution
in the above told township was the reason behind the
serious health issues like Chronic Obstructive Pulmonary
Disease (COPD) and Asthma that was being faced by the
people who have their livelihood over there. The failure of
removal of accumulated garbage is the sole reason for
breeding of mosquitoes and houseflies which is the root
cause behind various deadly diseases like malaria, dengue,
chicken guniya etc. A city with poor sanitation and
malodorous environment can neverbea healthyplacetolive
in. Nearly 235 million people currentlysufferfrombreathing
illness due to the inhalation of air with foul smell. Almost
90% of COPD sufferers are from low and middle income
countries. A health magazine has issued a survey result that
approximately three million people died of COPD in 2005.
Inopportune managing of garbage is recognized to be the
sole reason for over 22 human diseases that causes
premature death everyyear.Enactmentofthissmartdustbin
could possibly avert the mounting of the garbage for an
elongated period of time which would prevent the
widespread of diseases to a great extent and it do affirm a
clean environment in the city.
3. Literature Survey
Title Purpose Analysis
Smart Bin:
An
Intelligent
Waste
Alert and
Prediction
System
Using
Machine
Learning
Approach
The email alert and the text
message have been sent
automatically to the
concerned authorities once
the level of waste in the
dustbin crosses the
threshold. It guides the
garbage-trucks to collect
the garbage only from
those areas where the bin
is critically
filled.
The proposed system
successfully demonstrates
its capability
of real time monitoring of
the waste generation
patterns in a city. The
alert messages are also
sent to the responsible
authorities to pick up the
waste in case the bin is
full.
Smart Bin-
An
“Internet
of Things”
Approach
to Clean
and safe
Public
Space
In this approach, sensors
are placed in the bins
located at public areas, to
sense the level of the
garbage in the bin. When
garbage reaches the
threshold limit, the status
of the bin is updated in the
cloud, and this status can
be accessed by the
concerned authorities and
an immediate measure can
be taken for the cost-
effective disposal.
The following results are
observed
from this work-
-Detection of garbage level
in the bin
-Wireless transmission of
information using Arduino
-Real-time data can be
accessed through the
Cloud
-Overflow of the bins can
be avoided
3. Materials Required
Arduino Uno, HCSR04 Ultrasonic Sensor and API
A. Arduino UNO
Arduino UNO is a microcontroller board based on the
AT mega 328p. It has 14 digital input/output pins, 6
analog inputs, a 16 MHz quartz cristal, a USB connection,
a power jack, an ISCP header and reset button. Connect

the controller using USB cables or power it with AC-to-
DC adapter or battery. The Arduino UNO can be
programmed with Arduino software IDE.
B. Ultrasonic sensor
The object distance is determined by calculating the
duration of ultrasound waves of a certain frequency and
determine the objects distance from the duration of
ultrasound that it reflects. Ultrasonicsensorrangesfrom
2cm-400cm measurement function. The connecting
wires such as 5v power supply trigger pulse input, echo
pulse output, 0v ground.
C. GSM modem
A GSM modem is device which can be either a mobile
phone or a modem device which can be used to make a
computer or any other a network. A GSM modem
requires a SIM card which operates over network range.
It is connected to a computer through serial, USB or
Bluetooth connection.
Fig-1: Hardware Connection
4. Proposed Architecture
Fig-2: Proposed System Architecture
In system architecture there is android application which
can be used by only authenticated Drivers. Whenthe bin gets
full Arduino will transfer this message to server. Server will
calculate the distance between vehicles and the bin and find
the nearest driver after that nearest driver will get assigned
to collect dustbin. This notification will arrive on drivers
application.
5. Implementation
The Implementation of “Smart Bin” system uses thesensors,
Arduino UNO, ultrasonic sensor and GSM module. The
system uses ultrasonic sensors placedoverthebinstodetect
the garbage level and compares it with the garbage bin’s
depth. If the level of the garbage reaches the threshold value
specified by the authority, the status of the garbage bin is
uploaded on the server, As soon as the level is updated on
the server the nearest driver has been searched from the
location of the bin. There is an android application is
provided to every driver through which he can access the
system. The location of the bin is being send to the driver as
a notification. The driver has rights to accept or reject the
request according to the protocols. When driver done his
work then he update the status of bin. The ‘machine-
learning’ concept has been used to gather informationabout
the waste generation habits in that region and hence predict
the how much workers and bins should be required in
particular area in future . Apart from that, the analysis of the
continuous data is also done that has been sent over the
server in the form of graphs. The authorities take further
action to empty the bin and avoid overloadingofthegarbage
in the bins.
Fig-3: Bin Request on Application
Fig-4:After accepting navigation towards Bin by driver

Fig-5: Analysis on input data
Fig-6:Decision given on the basis of analysis
3. CONCLUSION
The Goal is to keep “cleanness” in the society. Smart Bin
works with the sensors and will demonstrate the various
level of garbage in the bin. This make our environmentclean
and ensures hygienic surroundings. Improper disposal and
improper maintenance of the domestic waste creates issues
in public health and environmental pollution. This project
provide practical solutions to help the local municipal
administration in waste management system.
REFERENCES
1. Cyril Joe Baby, Harvir Singh, Archit Srivastava, Ritwik
Dhawan and P. Mahalakshmi,“AnIntelligentWasteAlert
and Prediction System Using Machine Learning
Approach”
2. Ouahilal Meryem, Faculty of science, UAE, Tetuan,
Morocco, Jellouli Ismail, Facultyofscience,UAE,Tetuan,
Morocco, El Mohajir Mohammed, Faculty of science,
USMBA, Fez, Morocco,” A comparative study of
predictive algorithms for time series forecasting”
3. https://towardsdatascience.com/an-end-to-end-
project-on-time-series-analysis-and-forecasting-with-
python-4835e6bf050b
4. https://www.digitalocean.com/community/tutorials/a-
guide-to-time-series-forecasting-with-arima-in-python-
3
5. https://www.youtube.com/watch?v=e8Yw4alG16Q&t=
439s
6. http://miliohm.com/sim800l-arduino-tutorial/
7. https://www.google.com/amp/s/www.baldengineer.co
m/millis-tutorial.html/amp
8. https://howtomechatronics.com/tutorials/arduino/ultr
asonic-sensor-hc-sr04/

IRJET- Smart Bin

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