iPARK: Intelligent Parking System based on IoT & AI

1. iPARK:Intelligent Parking System based on IoT & AI
MithileyshSathiyanaraynan
Research&Development

2. IOT
foran
easy
life!
What is IOT ?
How itaccelerates progress?
IOTin Health
ConnectedCar
SmartCities
SupplyChain
Agriculture

3. TRAFFICJAM3

4. Difficulty to find available parking spot
Illegal vehicle parking worsening the problem
4
iPARKto therescue!

5. What dowe offer?5
More manageable parking area
Available parking space list
Auto sensing vehicle movement in parking area
User authenticated secured gate lock and unlock
Advantages
Shorter waiting time
Saves fuel
Guided to nearest place
Reduce Carbon Emission

6. 6
VehicleUsers
Parking spaceprovides
Target Audience

7. RelatedWorks
 Availableautomated car parking systems in developed countries.
 Car parking system in Mumbai or Bangalore.
 In this scenario,iPARKgives the solution.

8. Systemoverview8

9. How It Works?
9

10. Unlock Pin
2222
Arduino Mega& Ethernet shield
ParkingSpace
Parkingbar

11. 2222
Unlock

12. SystemComponents
HARDWARES/SOFTWARESSPECIFICATIONS
◦ Arduino Mega
◦ Ethernet Shield
◦ LDRSensors
◦ ServoMotors
◦ PHP-MySQL
12

13. Use CaseDiagram
UseCases:
1. Registration
2. Login
3. Show ParkingSpaces
4. SelectSpace
5. Lock gate (oncecaris moved)
6. Unlock gate
DesignDetails
13

14. ActivityDiagram
14

15. FutureWork
15
• Adistributed database to control parking spots throughout the country
• Aparking search based on location.
− This may also include suggestion to user basedon users current location.
• Tofacilitate the service providers, there can be automated hourly payment
service perparking.

16. Things to consider
 Most of the IOT based smart parking systems does not have the ability to automatically pick the right spot for
the vehicle.
 They can only pick spot by random from the available spots.
 They also does not have a centrally managed system for vehicle monitoring and spots visualization.
 The deep learning model will automatically predict and assign the best spot to the vehicle based on different
parameters.
 The proposed solution can add security to the vehicles while they are being parked.
 It can also allocate the best available spot for a particular vehicle by leveraging deep learning
technique.
 It can reduce space wastage and can retrieve vehicles very fast.
 It can also detect when the vehicle is being retrieved by some unauthorized person.

17. Methodology
Enter Vehicle Details
Predict and Allocate a
Spot
Attach a RFID
Activate and Monitor
the vehicle once parked
Detach and mark the
spot available
System Methodology

18. Methodology
  Enter Vehicle Details
• The parking in-charge will enter the vehicle details in to the server such as vehicle type and
registration number.
• The time stamp will be automatically taken by the server.
  Predict and Allocate a spot
• The Recurrent Neural Network(RNN) will automatically predict the best spot based
 on the vehicle details, available spots and current time.
• The predicted spot will be allocated to that particular vehicle.

19. Methodology
 Attach a RFID
• After a spot is allocated a RFID is attached and registered.
• The vehicle can then continue to park on the spot.
 Activate and monitor the Vehicle
• A raspberry pi with motion sensors are used in the actual parking spot to monitor
the vehicle.
• If there is any unusual activity the sensor can automatically alert the parking
assistants.

20. Methodology
 Detach and mark the spot available
• Once the vehicle is retrieved in a timely manner the vehicle details are matched
with previous entered details.
• If the details checkout, the RFID is detached and the vehicle is deregistered after
the fee is paid.
• Finally, the spot will be marked as available so that it can be allocated to another
vehicle.

21. THANKYOU
21