Where to park? Architecture and implementation of an empty parking lot, automatic recognition system

Authors

  • Héctor Ávalos Universidad UTE
  • Estevan Gómez Universidad UTE
  • Diego Guzmán Universidad UTE
  • Diego Ordóñez-Camacho Universidad UTE https://orcid.org/0000-0001-8390-634X
  • Jéssica Román Universidad UTE
  • Oswaldo Taipe Universidad UTE

DOI:

https://doi.org/10.29019/enfoqueute.v10n1.445

Keywords:

intelligent parking, distributed system, free parking slots, computer vision, machine learning

Abstract

The traffic congestion present in practically every city has, among its increasing factors, the unavailability of enough parking spaces. A typical driver invests a considerable part of the total trip time looking for a free space where to park his vehicle; in many cases, this leads to delays and the consequent discomfort due to the undesired consequences of the generated tardiness. For this problem it is possible to find partial palliative solutions, minimizing the time spent searching for parking by applying Internet of Things techniques, oriented to smart cities and buildings. This research has been focused on finding an appropriate computer architecture that will allow the implementation of a distributed system, which, thanks to the use of computer vision and machine learning techniques, detects free parking spaces inside a parking lot, and provides real time information to the driver, allowing him to go as directly as possible to a vacant parking space.

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Published

2019-03-29

How to Cite

Ávalos, H., Gómez, E., Guzmán, D., Ordóñez-Camacho, D., Román, J., & Taipe, O. (2019). Where to park? Architecture and implementation of an empty parking lot, automatic recognition system. Enfoque UTE, 10(1), pp– 54 . https://doi.org/10.29019/enfoqueute.v10n1.445

Issue

Vol. 10 No. 1 (2019)

Section

Computer Science, ICTs

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