SIH 2023 winning ideas: Real Time Parking Management System
Summary
TLDRThis episode spotlights Sam Vgis and his team, winners of Smart India Hackathon 2023. They discuss their innovative real-time parking management system, designed to solve the issue of street congestion caused by illegal parking. By utilizing existing government CCTV cameras, AI models, and cloud technology, their system helps optimize parking spaces and reduce traffic congestion. The team's mobile application enables users to reserve parking spots in advance, providing a hassle-free experience. They aim to implement this solution in Indore, with plans for a startup and future scalability. The episode highlights innovation, collaboration, and the potential for a smarter India.
Takeaways
- 💡 The series highlights the winners of the Smart India Hackathon 2023, showcasing their innovative solutions for real-world challenges.
- 🏆 The first featured team is led by Sam Vgis from NMIMS Indore, working on a real-time parking management system.
- 👥 The team members have diverse expertise in hardware, software, AIML, and app development, which helped them tackle the challenge.
- 🚗 The problem they addressed involves illegal street parking, which causes congestion, longer wait times, and pollution in urban areas.
- 📹 The solution leverages existing government CCTV infrastructure and an AIML model to monitor and manage parking spaces in real-time.
- 📱 Users can reserve parking spots via a mobile app, reducing congestion by directing them to available spots at specific times.
- 💸 Dynamic pricing is integrated into the app, allowing officials and shopkeepers to earn revenue from parking spaces.
- 🌍 Their system focuses on optimizing street parking, a critical issue in smart city development, rather than dedicated parking areas like malls.
- 🔧 The solution minimizes human intervention, using computer vision and automation to efficiently manage parking spaces.
- 🚀 The team plans to turn the project into a startup, starting implementation in Indore within six months and scaling it up for wider use.
Q & A
What is the Smart India Hackathon 2023?
-The Smart India Hackathon 2023 is a prestigious competition that highlights the innovative ideas of young minds, aiming to solve real-world challenges using technology.
Who is Sam Bas and what role does he play in the hackathon?
-Sam Bas is a member of the winning team from NMIMS Indore. He led the team to develop a real-time parking management system using AI and ML to solve parking congestion issues.
What problem did Sam's team address in their project?
-Sam's team addressed the issue of street congestion caused by illegal parking and the lack of optimized parking management. They developed a real-time parking management system to utilize existing parking spaces more efficiently.
What technology did the team use to solve the parking problem?
-The team used a combination of hardware, software, and artificial intelligence (AI) and machine learning (ML) models. They utilized existing CCTV cameras to monitor parking spaces and provide real-time data to users and city officials.
How does the parking management system notify users?
-The system allows users to reserve parking spots in advance and notifies them if a spot is available or if it's fully occupied. It also sends alerts to city officials if illegal parking is detected.
What is the advantage of using existing CCTV infrastructure?
-By using existing CCTV infrastructure, the team avoided the need for significant financial investment in new hardware, making the solution more affordable and scalable. This also reduces the burden on city resources.
How does the system manage traffic and parking space availability?
-The system divides parking spaces into groups, tracking the availability of each group in real time. It also uses AI to monitor the area and inform users and officials of available spaces, helping to prevent overcrowding and reduce congestion.
What are some key features of the team’s mobile application?
-The mobile application allows users to register their vehicle, reserve parking spots, view the availability of parking spaces, and even pay for parking. It includes dynamic pricing to optimize space utilization and offers users a seamless parking experience.
What makes this solution stand out from other parking management systems?
-Unlike other solutions, this system uses AI-based computer vision technology to manage street parking, focusing on optimizing street parking spaces rather than dedicated parking spots. Additionally, it requires minimal human intervention.
What are the team’s future plans for scaling their project?
-The team plans to create a startup and is in touch with the mayor’s office in Indore to implement the solution. They aim to start with small regions, like their university, and gradually scale up to the entire city. They also intend to seek funding and support from their university and investors.
Outlines
🎉 Introduction to Smart India Hackathon 2023
The opening segment introduces the special series focused on the winners of the Smart India Hackathon 2023. The host welcomes the audience and highlights the significance of the competition, which encourages young minds to solve real-world challenges using technology. Sam and his team are introduced as the first guests, and the host engages with them, congratulating them on their win and inviting Sam to introduce himself and his team.
🤝 Team Introduction and Formation
Sam introduces himself as a Computer Engineering student from NMIMS, Indore, who also interns at Maharashtra Police Cyber Cell. His teammates, Suani and Jen, also introduce themselves, sharing their roles and experiences. The team’s formation is discussed, highlighting their shared passion for both hardware and software. Each team member brings expertise in fields such as Flutter, AI, and ML. Together, they formed a group to work on a real-time parking management system for the hackathon.
🚗 Addressing the Parking Problem
Sam delves into the team's chosen problem: real-time parking management. He explains that illegal street parking causes traffic congestion, longer travel times, and pollution, especially in cities like Indore and Mumbai. The team aims to solve this issue by utilizing existing parking spaces more efficiently through a combination of hardware and software. He refers to a recent publication showing how large-scale illegal parking contributes to the problem, emphasizing the need for smart solutions to optimize parking and reduce congestion.
📹 How the System Works: AI and CCTV Integration
Sam explains how the system operates. It uses AI models to analyze footage from government CCTV cameras to monitor parking spaces in real time. When illegal parking occurs, alerts are sent to officials. The system also allows users to reserve parking spots in advance, reducing street congestion by managing parking availability based on time and location. This intelligent system distributes traffic and parking demand to optimize the use of existing spaces and improve the parking experience for users.
📱 App Demo: How Users Interact with the System
The team presents a demo of their mobile application, which allows users to reserve parking spots by entering their vehicle information, selecting a time slot, and paying a fee. The app provides real-time updates on parking availability and dynamic pricing based on demand. This system helps reduce congestion by allowing users to adjust their parking time and avoid over-crowded spots. It also generates revenue for shopkeepers and officials through parking fees, offering a comprehensive solution to parking management.
🏆 Competition and Unique Selling Proposition (USP)
Sam discusses competitors in the market, including a similar project by OAN, but emphasizes that most competitors don’t use computer vision or focus on street parking. The team’s USP is the use of AI to monitor real-time parking data with minimal human intervention, making the system efficient and scalable. The app integrates computer vision, hardware, and software to manage street parking, an essential aspect of smart city development. They believe their approach sets them apart from other parking management systems.
🚀 Overcoming Competition and Future Plans
When asked about future competition, Sam highlights the challenge of competitors upgrading their systems. He emphasizes that their solution uses existing infrastructure, making it cost-effective and easier to implement compared to competitors that require new investments. Looking ahead, the team plans to turn their project into a startup, scaling it across cities. They are in touch with the mayor of Indore to explore implementation opportunities and are confident about securing funding to support their expansion.
💡 Next Steps: Turning the Idea into Reality
Sam outlines the next steps for the project, including technical expertise, funding, access to CCTV footage, and cloud infrastructure to support real-time operations. The team aims to begin phase one of the project within six months by testing the system in a smaller area, such as their university or a nearby street. They plan to address any inconsistencies before scaling the system to larger areas, eventually making their smart parking solution available citywide.
🎬 Conclusion: Power of Innovation and Smart Solutions
The final segment concludes by reflecting on the potential of the team's project to address a major problem in India—parking management in urban areas. The host expresses optimism about the project’s success and praises the Smart India Hackathon for promoting innovation. He wishes Sam and his team success in implementing their solution in Indore and expanding it to other cities, hoping they will become well-known for solving a significant urban challenge.
Mindmap
Keywords
💡Smart India Hackathon 2023
💡Real-time Parking Management System
💡AI/ML Model
💡CCTV Footage
💡Congestion
💡Illegal Parking
💡Dynamic Pricing
💡Reservation System
💡Smart City Development
💡Cloud Database
Highlights
Introduction of Sam Vgis and his team from NMIMS Indore, Madhya Pradesh, and their project for the Smart India Hackathon 2023.
Sam introduces the problem statement: Realtime Parking Management System (S1 1515).
Sam highlights that the team consists of members with expertise in hardware, software, AIML, and application development.
The project addresses illegal parking and street congestion issues in cities like Indore and Mumbai, aiming to optimize parking space.
Sam emphasizes that the team utilized existing CCTV infrastructure and combined it with AI/ML models to monitor parking spaces.
Users can reserve parking spaces in advance, and the app provides real-time updates on availability, helping reduce congestion.
The app dynamically distributes parking demand across different time slots, allowing users to adjust their arrival time to avoid congestion.
Sam explains that the application alerts officials when illegal parking occurs, using AI to monitor the space.
A demonstration of the mobile app is provided, showing how users can book parking spots and view availability in real-time.
Dynamic pricing is integrated into the app, allowing officials and shopkeepers to earn revenue from parking management.
The team highlights that their solution requires minimal human intervention compared to traditional parking systems.
Sam compares their solution to other competitors, pointing out that most competitors lack the use of computer vision and focus on dedicated parking spaces.
The app's unique selling point is its ability to function efficiently using existing infrastructure, reducing setup costs.
Future plans include creating a startup and implementing the system in regions of Indore, with support from the mayor’s office and funding opportunities.
The team aims to pilot the project within six months, starting with small locations like university parking areas, before scaling up.
Transcripts
[Music]
[Music]
hi welcome to this special series with
some special people in which we turn our
Spotlight on the remarkable winners of
smart India hackathon
2023 a prestigious competition that
showcases The Genius of young minds in
solving real world challenges through
technology in this program we will hear
from the winners themselves learning
about the challenges they faced the
inspiration behind the solution and the
impact they hope to achieve first in the
series is Sam vgis and his team so let's
hear it from the man himself and the
people associated with him Hi Sam how
are you doing hello sir I'm fine so good
to have you guys on this show uh the
first episode for this particular series
and good to see you those you know
bright faces which are the faces of
winners so many congratulations to begin
with and uh thank you so much sir I
would request you to you know kind of
tell us something about you and your
team so that you know we get to know you
better before we start you know taking
more of the information from you sure so
my name is Sam Bas and our team is from
nmims indor so we are from madya Pradesh
state
and the problem statement where we
worked on is S1
1515 I am in mbch Branch pursuing
Computer Engineering and I'm also an
intern at Maharashtra police cyber cell
headquarters now I would like to request
suani to introduce herself hello I'm K
I'm in second year I'm pursuing bch in
computer
engineering
hello sir my name is Jen and I have also
been a part of previous which Wason in
which the team was again led by S and
I'm currently pursuing BK from n I'm in
second so good to know you guys I mean
you have been pro at this even K was
your playground once the wonderful to
hear that so Sam uh first of all let me
let me know a bit about your team how
did you get together like were you
studying together or it was a common
interest or what brought you together as
a team to you know participate in the
Aron yeah so my team we are from the
same University and we are very
passionate about hardware and
software so yeah like I know flutter
many of them are have their expertise in
AIML in application development and and
a lot of these field so yeah we are very
passionate about solving the problems
and that is why we took part in smart
India AC we formed a group together
that's how so everyone had their
expertise individually and we come
together and some is for the addition
part some is some is expert in back end
some in front end and that is how we
came together and
we okay so the problem that you chose
was realtime parking management system
so how critical this issue is according
to you and why does it really need a
solution can we live without it can we
do without it or no many times people
Park on street right now whenever they
Park on Street it leads to Street
congestion now because of this it leads
to longer waiting times people have to
wait for a long time in order to reach
their destination now this is a very big
issue for Smart City developments and
for cities like Mumbai madha Pradesh Etc
now this is the problem where we
actually worked on parking space cannot
be increased we have to utilize the ones
which is available to us right now and
that is what we have done we have
utilized available parking space to its
fullest using a combination of Hardware
as well as software so we are already
raed in indor so according to indor
there was a recent publication in times
of India D Bas about the illegal parking
they uploaded a statistics that more
than two lakh people have been fined for
illegal parking this tells us how big of
issue is already in and U because of
illegal parking traffic congestion takes
place and air and noise pollution takes
place and as they are limited parking
spots so to solve this problem we have
to implement a smart solution so that we
can optimize these parking spaces and
provide reservation of these parking
stages with a hassle free experience so
there's going to be a positive of
parking space always in fact this
positive will you know uh keep
increasing by the passage of time so how
does one solve this puzzle so that will
be very interesting to know and
understand understand from you how did
you crack this particular puzzle how are
you able to you know create this kind of
a management
system yes sir so first and foremost
people Park many of times illegally
right so what we have done is we are
utilizing the existing CV cameras of
government and these cameras they will
send their footage to our AIML model now
through AIML model we will be having a
constant supervision on the parking
space right so whenever somebody parks
IL legally then suddenly this
application will send alert to the
officials that okay this is uh this is
the particular car it has parked
illegally now because of this it is
leading to congestion long waiting times
and all of these things right secondly
we are asking the users to reserve their
parking spot even before they come okay
so because of this users would be able
to reserve the parking spot prior to
prior to coming there suppose if I want
to park my space at 4: to 5:00 p.m. okay
then I'll exactly come to know what is
the congestion at that particular time
how many people have already reserved
their parking spot okay now if this
parking spot is not available then our
application will tell the user okay so
don't come at 4 to 5 because the parking
spots are already filled you do one
thing you come from 5: to 6:00 p.m. at
that time parking spaces would be vant
so what are we doing here actually we
are telling the users to come at a
specific we actually dividing the crowd
based on time as well as based on
location okay so this is how we are
utilizing the existing parking spaces so
instead of Simply creating a Lo creating
a crowd there we are actually telling
the users okay come from this time to
this time you'll find a parking space
there so you basically producing the con
on the
streets so you're basically sending out
directives to the users or potential
users so to be able to use uh send out
these directives
what is the kind of data that you're
collecting and how are you collecting
that what are your sources for you know
collection of all those datas which
enable you to you know uh send out these
directives or whatever suggestions you
may
say Okay so the data that we are
collecting first and foremost it is from
the CCTV footage itself so we will be
accessing the CCTV cameras of government
we are utilizing only the existing
infrastructure we are not introducing
something else which leads to a lot of
Burden lot of financial investment or
something we are utilizing the existing
systems okay so what this camera will do
is it will send its CCTV footage to our
AIML model now the AIML model will
constantly see the available parking
space it will check whether the parking
space is congested or not whether
there's an available parking space or
not so what it will do it will send the
uh send the time as well as the
congestion data to our Cloud F Cloud
database so this is how it's actually
done so so what exactly happens when
that CCTV footage data goes to your you
know AI based back end I would
say uh yeah so what happens is our CCTV
footage the footage we getting from the
the real time footage we getting so with
the help of our a model we are able to
keep the track of the number of vehicles
in the particular area now to solve uh
this problem of where to allot the
parking as in because we have a street
for example so maybe 70% of that
particular Street let's say illegal and
the remaining 30% is illegal so how
exactly does the user know or the admin
knows where to park exactly so our
application allows the parking space uh
to divide the space into groups and so
each group has the track of the number
of vehicles so what will happen actually
is the admin will Mark the legal parking
space right because all because the
whole street is not obviously a legal
parking space so the admin will actually
Mark the legal parking space now our aim
model will supervise that parking space
it will see if that space has been
completely filled or not if uh suppose a
space had a capacity of five vehicles
but only three have come then suddenly
our aim model will alert the officials
okay see two more Vehicles can come here
so the user can park here so that is how
we are actually utilizing the existing
parking space Sam uh let's can we really
have some kind of a demonstration which
we you know you know makes us see
exactly what's happening instead of you
know trying to understand through words
can we see it through visuals or through
you know actual kind of a prototype
which you might have developed yes sir
we have developed a mobile application
now this application will also be also
be compatible for Android iOS Windows as
well as Lin so let us share our screen
first this is the application which we
have created for our problem statement
so here firstly we are entering the
username then we are entering the
password after that we need to register
our vehicle
number so let's take a random vehicle
number for now yes and and after that we
are submitting
it so this is a page where we can
reserve a spot for our vehicle so
firstly we need to enter the timing from
which duration we need to reserve a spot
so it is automatically taking time of 1
hour which is 232 to 332 we can also
change
it if you want to extend the time after
that we need to uh select the
destination so uh here right now I'm
selecting NM inor only after that uh we
need to select the vehicle type whether
it is a car or a bike uh
motorcycle so after that we'll submit
this and here we have some groups uh on
which we can reserve our spot so it also
shows how much spot is occupied and how
much spot is not occupied so we'll enter
here in and we'll book a spot here so
firstly it will give us the amount which
we need to pay so it is showing here 20
rupees which we have set it uh by
default and we can see change it later
on and we have also applied Dynamic
pricing here so we can change
it after that uh it is showing that our
sport is successfully reserved and the
cost we need to pay is 49
rupees okay so as you can see while she
was reserving her spot she was actually
able to see how much of the particular
parking spot is available and how much
is not available so users even without
going to the particular parking space
physically they can come to know that
okay 60% of the spot is already occupied
or 100% of it is occupied so let me
change my time duration so that the
particular Street does not get over
congested so this is how we are managing
the traffic we are managing the existing
parking spaces so I think it is not only
about managing traffic and parking
spaces another thing that comes to mind
is you know from an era of having you
know Advanced looking for Cinemas we are
now moving to an Era we can have
advanced booking of parking slots right
so probably that is an additional thing
that you're offering to the potential
customers yes this is an additional
thing that we are offering moreover we
have also set a dynamic pricing so by
using this application the officials can
earn money the shopkeepers can earn
money they can charge for the parking
space that they are providing so this
becomes an additional source of revenue
for them and everything is working on a
realtime basis so everything gets
registered in the app as well at the
same
time okay now coming to the next
important question uh in terms of
competition where do you stand are there
any similar platforms available in and
around uh your area or in this country
or in the world uh what is this
comparable with yes sir so there are few
few competitions like recently we saw a
news about oan so in oan they
implementing a similar parking uh
parking space management system but
majority of the parking space Management
Systems they do not use computer vision
so they only use uh the application
moreover they're also more oriented
towards dedicated parking space not the
street parking space for Smart City
development streets parking street
parking space is what's more important
not the dedicated one like uh like the
parking space that is available in malls
or in colleges they are not an issue for
us for the ministry the main issue is
whenever people Park on street or on the
road so that is our main issue and we
have we have solved it in a better way
by integrating computer vision Hardware
software and whatnot uh and the USP of
our application is that there is very
less human intervention as in we don't
need many people for our program to work
as we see that in a lot of parking
spaces we have two to three people who
are working there who are able who are
helping the people to park their spaces
some officers who are there to find uh
if some or toing vehicles for example so
our application requires a very very
less human intervention and it can give
results very efficiently it also has an
embedded map as you can see so it will
guide the user to the exact paring spot
so uh we've spoken about the competition
and you say there is competition right
now but you are a little ahead of them
because of certain features and certain
functions so but uh tell me one thing
what stops them to upgrade themselves
and bring themselves to your level and
be a really stiff competition for you so
is that uh something which is possible
which might happen in the future and if
that happens how do you plan to you know
fight
that okay that is actually a very good
question so right now we are using very
Advanced uh aim in models okay so and
moreover we are using the existing
infrastructure our competitor are not
using the exist infrastructure it
requires a lot of investment to set them
up right so that is how we are ahead of
them because we are actually using the
existing infrastructure not bringing
something new to the table so it's very
affordable for everybody and moreover it
also offers a source of Revenue that is
very important for all the shopkeepers
means the shopkeepers won't directly use
our application if if it force them to
right they will use the application if
they also get some benefit from it so
providing them an addition source of
Revenue providing them suppose even half
a lack of money it will motivate them a
lot to set this set up this
technology what are the future plans
what where do you take this from this
particular step what is the next step
for
this yes sir so we are planning to
create a startup so that we can extend
this project and make it see the light
of the day moreover we are also in touch
with the mayor's office with the mayor
of indor we also in touch with his
office and yeah soon we'll try to
implement it in a few regions of indor
and we'll start to scale it up so that
this application will be used for the
entire
city and have you figured out the
funding part of it will it be
bootstrapping or you're looking at some
kind of a seed capital or you know
something to that
nature yeah so our College uh nmms we
have some uh funders and investors who
found our uh idea very good and uh they
are the ones who are going to link us
with the mes and uh they they have
assured us that funding won't be a very
B problem and also uh a very additional
benefit is that we don't require a a a
very large amount of Mone we can
basically make our application work very
efficiently in very less amount of money
so uh funding is won't be a very uh big
problem and it it would be solved
moreover we have already been rewarded
with a one lakh cash price we'll be
using it for our application development
yes of course that pricee money is going
to come handy definitely I can I can
understand that yes sir it's welld
deserved one and uh now uh Sam and team
talking about the business plans and you
know taking this idea forward so tell me
in kind of a bullet points what all do
you require at this particular moment to
succeed or to take this forward or to
make this a commercial
viability
okay so first would be the expertise of
the people who are working at a very
high level and who have basically the
technical experience so that our
application actually works in the real
time scenario uh first would be uh
taking that help secondly would be the
funding part I guess uh for the uh the
money and uh and then we might require
access to CCTV footages OB obviously so
yeah that is very crucial thing for us
accessing the data existing the data
that our existing infrastructure is
collecting and yeah and last one is that
we might need access to a cloud
infrastructure a cloud database as well
so that our application will run on
cloud it will store its data on cloud so
that it is accessible for the whole city
or the whole state so I presume that you
must be working on these things right
now yes sir yes sir we are in right now
with some people okay so uh if I talk
about any timeline kind of a thing so in
how many months or years or whatever
time frame do you think this idea can be
turned into
reality so it might need us 6 months at
least to start start the phase one of
our project so in the phase one of our
project we'll be targeting on a small
location probably uh our University
parking area or the nearby Street
or or a square or something we'll start
by that the first phas will be testing
it in a small case scenario and uh the
all the problems which are going or the
inconsistencies which are going to come
we are going to be solving that so that
we are ready to take it on a little big
level yes sir so at least six months to
figure out the existing technical things
that are currently going on in indor in
our state okay and then we'll try to
improve it we'll try to launch our face
is one to try to implement it on our
area so guys there it is in the next 6
months we can expect a very smart
realtime parking space management system
coming into place so that's the power of
ideas that's the power of you know
Innovation That's The Power of smart
India haathon you know bringing up these
wonderful young minds and their ideas
and working on those so Sam and team
thank you so much for joining us today
and we wish you all the best and uh we
hope that uh within 6 months actually
will be able to start this project and
thereafter uh you will not look back and
uh take this thing to multiple cities
across the country and you will be a
name which will be well known in this
particular space and uh people will
remember you for you know solving this
huge problem that our country faces and
we wish you all the very best Sam and
all the team members thank you so much
for joining thank you so much thank
you so that was Sam and his team making
a difference there through smart India
hon so that is all for now we'll be back
with an array of innovation and
Brilliance as we showcase the smart
India hackathon winners who are not just
shaping the future but also contributing
to building a smarter and more
technologically advanced India stay
tuned for more episodes filled with
creativity and spirit of innovation see
you
浏览更多相关视频
A big step in the direction of Industrial safety: Preventing gas leakage using machine learning.
Inovasi Teknologi: Shanghai Ciptakan "Smart Parking Underground"
SIH-1515 Smart India hackathon by team TECH TITIANS
Decision Support Systems (DSS) for ICM
Intelligent Traffic Management System using Machine Learning | Machine Learning Projects 2023 2024
‘Arista Vault’ के Smart Luggage में बैठकर Sharks ने की Ride | Shark Tank India S3 | Full Pitch
5.0 / 5 (0 votes)