Intelligent Parking Management SystemBased on Image Processing

Miss. Nirthika Rajendran

RegNo : 2012/SP/142

Index No : S8311

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• 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

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System Module

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Image Identification

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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ChallengesDifferent 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.

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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

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Thank you for your attention…

Any Question!