Intelligent Parking Management System
Based on Image Processing
Miss. Nirthika Rajendran
RegNo : 2012/SP/142
Index No : S8311
10/15/2015 Intelligent Parking Management System 2
• This system captures and processes the rounded image drawn at parking lot and
produces the information of the empty car parking spaces.
• This system is applicable in more populated busy cities parking lots.
• Implementing this system will help to –
Resolve the growing problem of traffic congestion, wasted time and money, help provide
better public service, reduce car emissions and pollution, improve city visitor experience and
increase parking utilization.
• Applying the edge detection with boundaries condition method for image detection module.
Introduction
System Module
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Image Identification
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Image Acquisition
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Current image with some cars
Image Separation
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(a) RGB -> HSV
(b) HSV -> Gray -> Binary image
(c) Real RGB image
(d) RGB -> Gray -> 70% Threshold binary image
(e) RGB -> Gray -> Inverting -> 70% Threshold
(f) Mix = HSVBWObject | lightObject | DarkObject
Image Development
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Dilated image Eroded image
Image Determination
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Erode image for empty car park Real image
GUI for car park image readerErode image for current car park
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Challenges
Different weather conditions
 it can be improved by filtering the image in a high quality transform, so the camera can
detect the park lots in any weather condition.
10/15/2015 Intelligent Parking Management System 10
Conclusion
• An image based method of detecting the availability of a car park was modelled and tested with
different occupancy scenarios of car parks.
• This consists
 Finding car park coordinates from an empty car park
 Acquiring an image with cars
 Converting the image to black and white for simple analysis
 Removing noise and
 Determining whether car parks are vacant or filled.
World Journal of Engineering and Technology, 2014, 2, 55-67
Published Online May 2014 in SciRes. http://www.scirp.org/journal/wjet
http://dx.doi.org/10.4236/wjet.2014.22006
Reference
10/15/2015 Intelligent Parking Management System 11
10/15/2015 Intelligent Parking Management System 12
Thank you for your attention…
Any Question!

Intelliget parking management system

  • 1.
    Intelligent Parking ManagementSystem Based on Image Processing Miss. Nirthika Rajendran RegNo : 2012/SP/142 Index No : S8311
  • 2.
    10/15/2015 Intelligent ParkingManagement System 2 • This system captures and processes the rounded image drawn at parking lot and produces the information of the empty car parking spaces. • This system is applicable in more populated busy cities parking lots. • Implementing this system will help to – Resolve the growing problem of traffic congestion, wasted time and money, help provide better public service, reduce car emissions and pollution, improve city visitor experience and increase parking utilization. • Applying the edge detection with boundaries condition method for image detection module. Introduction
  • 3.
    System Module 10/15/2015 IntelligentParking Management System 3
  • 4.
  • 5.
    Image Acquisition 10/15/2015 IntelligentParking Management System 5 Current image with some cars
  • 6.
    Image Separation 10/15/2015 IntelligentParking Management System 6 (a) RGB -> HSV (b) HSV -> Gray -> Binary image (c) Real RGB image (d) RGB -> Gray -> 70% Threshold binary image (e) RGB -> Gray -> Inverting -> 70% Threshold (f) Mix = HSVBWObject | lightObject | DarkObject
  • 7.
    Image Development 10/15/2015 IntelligentParking Management System 7 Dilated image Eroded image
  • 8.
    Image Determination 10/15/2015 IntelligentParking Management System 8 Erode image for empty car park Real image GUI for car park image readerErode image for current car park
  • 9.
    10/15/2015 Intelligent ParkingManagement System 9 Challenges Different weather conditions  it can be improved by filtering the image in a high quality transform, so the camera can detect the park lots in any weather condition.
  • 10.
    10/15/2015 Intelligent ParkingManagement System 10 Conclusion • An image based method of detecting the availability of a car park was modelled and tested with different occupancy scenarios of car parks. • This consists  Finding car park coordinates from an empty car park  Acquiring an image with cars  Converting the image to black and white for simple analysis  Removing noise and  Determining whether car parks are vacant or filled.
  • 11.
    World Journal ofEngineering and Technology, 2014, 2, 55-67 Published Online May 2014 in SciRes. http://www.scirp.org/journal/wjet http://dx.doi.org/10.4236/wjet.2014.22006 Reference 10/15/2015 Intelligent Parking Management System 11
  • 12.
    10/15/2015 Intelligent ParkingManagement System 12 Thank you for your attention… Any Question!