The document discusses a proposed smart dustbin system aimed at improving waste management in urban areas by integrating technology for better data collection and service efficiency. It outlines the need for effective garbage collection solutions due to increasing population and waste generation, detailing system architecture and various scheduling algorithms for optimal collection. The project also highlights real-life applications, advantages, technical challenges, and future development potential.

1. Smart Dustbin for Smart
city
presented by-
SANJIB MITRA(150403074)
SANTANU SINGHA(150403076)
SHRUTI KULSRESHTHA(150403085)
SUBHAM KUMAR MAHATY(150403101)

2. Content
 Introduction
 Problem
 Population growth and impact on overall waste
 What We need?
 How It Actually Works
 System Architecture
 Iplementation & Real life example
 Advantages&Disadvantages
 Technical Challenges
 Future scope

3. Introduction
 City administration needs to understanding of the
generating report control over pricing.
 District administration are inserted in controlling
the project of waste collection ,checking quility of
service
 waste truck drive need navigation system and
reporting problem system
 Citizens want to have better service,lower cost and
easy accessibile cost

4. Problem
 Greater access to the
garbage disposing points
(public dustbin)
 Efficient in terms of time
and fuel cost.
 Provide data collection
facility on how much a
city generates garbage
and accordingly plan
disposing process.

5. Population growth and impact on overall
urban waste generation
Population
(millions)
Per capita-342.8
Total
waste (tons)
generates-71.15
Population
(millions)
Per capita-451.8
Total
waste (tons)
generates-107.01
Population
(millions)
Per capita-595.4
Total
waste (tons)
generates-160.96
Population
(millions)
Per capita-260.1
Total
waste (tons)
generates-47.30
20212011 2031 2041

6. What We need?

7. How It Actually Works
start
check
dustbin
full=?
send message to
control room
send cleaning
vechicle
update status of
dustbin
repeat
repeat
No
Yes

8. System Architecture
This proposed system
has been divided into
three layers:
1) Dustbin Layer
2) Server layer
3) Client layer

9. Iplementation
 Now the question arises how we collect the garbage optimally from these dustbins for this
purpose we can use following three scheduling Algorithm.
Fixed Scheduling: -
In this scheduling collection process carried out after fixed interval for example collect after
every three days. Here we can use the Traveling salesman problem algorithm for route planning.
Priority Scheduling: -
In this scheduling the dustbins are collected according to the decreasing current fill up status. For
example if we have 3 dustbins with fill up status 92%, 80% and 96%. Then collect in this order
96%, 92% and then 80%
Average Threshold Scheduling: -
 In this scheduling we first find out the average of all fill up status of all dustbins. Then if
average is greater than some threshold like 70% then schedule the collection process and
within that scheduling collect according to the Priority scheduling or Traveling salesman
problem.
Full Dustbin Capacity Utilization Scheduling: -
 In this scheduling we will carry the collection process only when all the dustbins are
completely filled up. Here we can again use the traveling salesman problem algorithm for
route planning.

11. Real life example

12.  Our system provides greater accessibility to the dustbin.
 In our system if dustbin is relocated to another location it will
automatically registered with the server with the new GPS
location.
 It will save fuel and time using appropriate route planning. Here
we can use traveling salesman problem for route planning.
 It will generate less pollution as we are saving fuel here which
is mostly diesel and petrol.
 We can plan and design the collection process as here we can
estimate the current garbage disposing levels on monthly basis
using the data provided by IT enabled dustbin.

13.  The process is not alaways cost-effective
 The resultant process has a short life
 Garbage segregation is very dificult
 The sites are often dengerous

14. Technical Challenges
 Huge data emitted by the sensor
 Data is closely tried to location
 Need algoritham to process raw data
meaningful data
 store data to generatesreports
 The UI has to be simple and intuitive
 The application has to accessible

15. Two bins can be placed
to collect wet and
dry waste separately
It can be made durable by
macking it compact and cost
effective .
Wet waste can be decoposd
and used for making biogas
Future
Scope

16. Thank you!