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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!