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Improved Parking Solution Based on Image Recognition Algorithms

EasyChair Preprint no. 7729

5 pagesDate: April 7, 2022

Abstract

The rapid increase in vehicle population in recent years have given rise to a number of global problems such as air pollution, blockage of roads, waste of fuel and time. Today car drivers struggle to find a free parking space for their cars.

Based on the above, people expect technology to address this problem and hence find a suitable solution to end the suffering of motorists. On the other hand, IoT is a promising platform for providing unusual applications for helping people and provide them a better way to manage their day's lives. Control systems are replacing manual operators and fully automated machines are replacing human labor. Even if many of the exiting parking systems provide passive information to the drivers regarding the availability of parking slots. This paper proposes a solution for making this problem easier by using buid-in tools and library in the matlab simulink opera and will address the issue of the size of free parking spaces taking into account the dimensions of the vehicle.

Keyphrases: algorithm, Camera, Dimensions, parking space., vehicle

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
@Booklet{EasyChair:7729,
  author = {Jovana Sofronioska and Boban Temelkovski and Jugoslav Ackoski},
  title = {Improved Parking Solution Based on Image Recognition Algorithms},
  howpublished = {EasyChair Preprint no. 7729},

  year = {EasyChair, 2022}}
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