A ppt for iot enabled waste management system.

1. SMART WASTE MANAGEMENT
SYSTEM
IOT ENABLED
Guided by
Nisha JR
Assistant Professor
Department of CSE
Submitted by
Abbie Thankachan
S7R2
03

2. CONTENT
01
02
03
04
05
06
07
INTRODUCTION
LITERATURE SURVEY
DRAWBACKS OF EXISTING SYSTEM
IOT AND ITS ROLES
PROPOSED SYSTEM
REQUIREMENTS
METHODOLOGY
08
09
ADVANTAGES
CONCLUSION

3. INTRODUCTION
• Today we delve into an innovative solution that is transforming waste
management as we know it - The IoT-Enabled Smart Waste Management
System.
• In an era where sustainability and efficiency are paramount, waste management
plays a crucial role in maintaining a clean environment and conserving resources.
• We'll explore how this technology addresses the challenges of traditional waste
management and significantly enhances its efficiency, cost-effectiveness, and
environmental impact.
• With the advent of IoT, waste management is no longer just a routine chore but a
data-driven, smart solution.

4. LITERATURE SURVEY
• Narayan Sharma, Nirman Singha, Tanmoy Dutta, "Smart Bin Implementation for Smart Cities",
International Journal of Scientific & Engineering Research, Volume 6, Issue 9, September-2015
In this they have equipped the smart bins with ultrasonic sensors which measure the level
of dustbin being filled up. The container is divided into three levels(h/3, 2h/3, h) of garbage being
collected in it. Every time the garbage crosses a level the sensors receives the data of the filled
level. This data is further sent to the garbage analyzer as instant message using GSM module.
• Prof. R.M.Sahu, Akshay Godase, Pramod Shinde, Reshma Shinde, "Garbage and Street Light
Monitoring System Using Internet of Things", International journal of innovative research in
electrical, electronics, instrumentation and control engineering Vol. 4, Issue 4, April 2016.
In this they have build built a framework in which a Camera will be set at each garbage
collection point alongside load cell sensor at base of the trash can. The camera will take continuous
snapshots of the garbage can. A threshold level is set which compares the output of camera and
load sensor.

5. LITERATURE SURVEY

6. DRAWBACK OF
EXISTING SYSTEM
* One of the main concerns with our environment has been solid waste
management which impacts the health and environment of our society.
* The detection, monitoring and management of wastes is one of the
primary problems of the present era.
* The traditional way of manually monitoring the wastes in waste bins is a
cumbersome process and utilizes more human effort, time and cost which
can be avoided with our present technologies.

7. DRAWBACK OF EXISTING
SYSTEM [CONT]
• Lack of the proper information about the collecting time and area.
• Lack of the proper system for monitoring, tracking the trucks and trash bins that have
been collected in real time.
• Loss of productivity due to inefficient utilization and unauthorised use of vehicles.
• There is no quick way to response to client’s complaints about uncollected waste.

8. PROBLEM

9. IOT AND IT’S ROLE
• IoT, which stands for the 'Internet of Things,' refers to a network of interconnected physical devices,
sensors, and objects that collect and exchange data over the internet.
• In healthcare, for example, IoT-enabled medical devices can monitor patients vital signs remotely,
improving patient care and reducing hospitalization.
• In agriculture, IoT sensors can collect data on soil conditions, weather, and crop health, optimizing
farming practices and increasing crop yields.
• In transportation, IoT is powering smart cities with traffic management systems that reduce
congestion and enhance safety.

10. PROPOSED SYSTEM
• Our proposed model provide real time monitoring to the garbage bins placed in various locations.
• These garbage boxed have been assigned with a unique id which determines the garbage
bin identity.
• The garbage bins are build with a sensor module (Ultrasonic sensor) which continuously monitors the garbage level inside
the garbage bin.
• Any moment the garbage level passes over the critical level (i.e 80%), the system generates a notification to the monitoring
panel (admin panel/garbage cleaning team) and so the cleaning team collects the garbage from the identified garbage bin.
• Android device will detects, in which area dustbin is located and status of that.

12. ...
FLOW
DIAGRAM

13. REQUIREMENTS
• ULTRASONIC SENSOR
• NODE MCU/ARDUINO UNO/GSM MODULE
• WIFI MODEM
• SMART DUSTBIN

14. METHODOLOGY
STEP 1
An ultrasonic sensor will
be placed on the
interior side of the lid,
the one facing the solid
waste. As trash
increases, the distance
between the ultrasonic
and the trash decreases.
This live data will be
sent to our micro-
controller.
STEP 2
Micro-controller then
processes the data and
sends to thingspeak
with the help of Wi-Fi
module.
STEP 3
Virtuino is an Android
app for monitoring
sensor or control
electrical devices via
Bluetooth, local Wi-Fi or
Internet and Control
internet of things server
- Thingspeak data
monitor

15. METHODOLOG
Y

16. • IT ALSO AIMS AT CREATING A CLEAN AS
WELL AS GREEN ENVIRONMENT
ADVANTAGES
• IT WILL STOP OVERFLOWING OF DUSTBINS
ALONG ROADSIDES AND LOCALITIES AS
SMART BINS ARE MANAGED AT REAL TIME.
• BY USING ROUTING ALGORITHM IT WILL
SMARTLY FIND THE SHORTEST ROUTE. THUS IT
WILL REDUCE THE NUMBER OF VEHICLES USED
FOR GARBAGE COLLECTION.
.

17. ADVANTAGES
• IT WILL REDUCE FUEL CONSUMPTION.
• MINIMIZES LABOUR COSTS BY
STREAMLINING COLLECTION ROUTES AND
SCHEDULES.
• LESS AMOUNT OF FUEL CONSUMED BY
VEHICLES THUS CAN SAVE A LARGE
AMOUNT OF MONEY AS WELL.

18. DISADVANTAGES
• Initial implementation costs
• Technical challenges
• Reliability and maintenance
• Power supply dependency
• Limited coverage and connectivity
• Vulnerability to Environmental factors

19. FUTURE SCOPE
The rollout of 5g networks
will improve data
transmission speeds and
reliability, address
connectivity challenges in
remote or densely
populated areas.
Advanced sensors and
robotics may be employed
to automate waste sorting
processes at recycling
centers, improving
recycling rates and
reducing contamination.
INTEGRATION OF
AI & ML
5G
CONNECTIVITY
SMART WASTE
SORTING
These technologies will
enable predictive analytics
for waste generation
patterns, further optimizing
collection routes and
schedules.

20. CONCLUSION
In conclusion, IoT-enabled Smart Waste Management Systems represent a transformative leap in the way we
handle waste. These systems harness the power of technology to make waste collection and disposal smarter,
more efficient, and environmentally sustainable. We've explored the key components, advantages, and
challenges of these systems, highlighting their potential to revolutionize the waste management industry. From
improved efficiency and cost reduction to environmental impact reduction and enhanced user engagement, the
benefits are substantial. Moreover, the future of this technology is bright, with opportunities for AI integration,
advanced user engagement, and global expansion. Thank you for joining us on this journey to explore the future
of waste management through the lens of IoT technology.

21. REFERENCES
➤C. K. M. LEE AND T. WU, "DESIGN AND DEVELOPMENT WASTE MANAGEMENT SYSTEM IN HONG
KONG," 2014 IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING AND
ENGINEERING MANAGEMENT, BANDAR SUNWAY, DOI: 10.1109/IEEM 2014.7058748
➤M. H.A. WAHAB, ET.AL., "SMART RECYCLE BIN: A CONCEPTUAL APPROACH OF SMART WASTE MANAGEMENT WITH
INTEGRATED WEB BASED SYSTEM, INTERNATIONAL CONFERENCE ON IT CONVERGENCE AND SECURITY (ICITCS), 2014,
BEIJING, 2014, PP. 1-4. DOI: 10.1109/ICITCS.2014.702181
➤S. THAKKER AND R. NARAYANAMOORTHI, "SMART AND WIRELESS WASTE MANAGEMENT." INTERNATIONAL
CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS),2015,
COIMBATORE, 2015, PP. 1-4. DOI: 10.1109/ICIIECS 2015.7193141

22. THANKYOU FOR
WATCHING