Design and Implementation of Intelligent Parking System Based on OpenCV

Due to the proliferation in the number of vehicles on the road, traffic problems are bound to exist. This is due to the fact that the current transportation infrastructure and car parking facility developed are unable to cope with the influx of vehicles on the road. In India, the situation are made worse by the fact that the roads are significantly narrower compared to the west. Therefore problems such as traffic congestion and insufficient parking space inevitably crops up. In his paper we describe an Intelligent Car Parking System, which identifies the available spaces for parking using sensors, parks the cars in an identified empty space and gets the car back from its parked space without the help of any human personnel. A Human Machine Interface (HMI) helps in entering a unique identification number while entry of any car which helps in searching for the space where the car is parked while exit. An Indraconrol L10 PLC controls the actions of the parking system. The PLC is used to sequence the placing and fetching of the car via DC motors. We have implemented a prototype of the system. The system evaluation demonstrates the effectiveness of our design and implementation of car parking system.

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iParking

International Journal of Synthetic Emotions ◽

10.4018/ijse.2017070101 ◽

2017 ◽

Vol 8 (2) ◽

pp. 1-24

Author(s):

Ankita Khadsare ◽

Gauri Jadhav ◽

Sayali Mali ◽

Shivani Nanaware

Keyword(s):

Radio Frequency Identification ◽

Metropolitan Areas ◽

Android Application ◽

Infrared Sensors ◽

Design And Implementation ◽

Ir Sensors ◽

Parking System ◽

Frequency Identification ◽

Smart Parking ◽

Radio Frequency Identification Devices

Finding a parking in most of the metropolitan areas, especially during the rush hours, is difficult for drivers nowadays. The iParking system proposed in this paper allows drivers to find and reserve the vacant parking slots through their smartphones and additionally support the principles of “Smart City.” The design and implementation of this proposed system called Reservation Based Smart Parking System (RSPS) is based on cloud computing and android application and finds availability of nearest parking slots. The objective is to reduce the time in finding the parking lots and avoid unnecessary traveling. The technology proposed in this paper is Infrared Sensors (IR Sensors) used for detecting the occupancy of parking slots. The iParking uses Radio Frequency Identification Devices (RFID) to identify and track a car. The methodology proposed in this paper can easily be compared with existing parking system in terms of reducing the fuel consumption.

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Design and implementation of an automatic parking system based on automatic parking intelligent control algorithm

Information Science and Electronic Engineering ◽

10.1201/9781315265278-78 ◽

2016 ◽

pp. 341-344

Keyword(s):

Intelligent Control ◽

Control Algorithm ◽

Design And Implementation ◽

Parking System ◽

Automatic Parking

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An Occupancy Simulator for a Smart Parking System: Developmental Design and Experimental Considerations

ISPRS International Journal of Geo-Information ◽

10.3390/ijgi8050212 ◽

2019 ◽

Vol 8 (5) ◽

pp. 212 ◽

Cited By ~ 3

Author(s):

Germán Martín Mendoza-Silva ◽

Michael Gould ◽

Raul Montoliu ◽

Joaquín Torres-Sospedra ◽

Joaquín Huerta

Keyword(s):

University Campus ◽

Agent Based ◽

Design And Implementation ◽

System Components ◽

Parking System ◽

Smart Parking

This paper presents the development of a parking occupancy simulator to support a smart parking system. The simulator uses an agent-based approach to model drivers who follow activity plans and who may or may not use the smart parking system. We illustrate how the process of developing our simulator helped in the design and implementation of the smart parking system components. The paper also shows how the simulator was used to study the possible usage of the smart parking system in a university campus, foreseeing (1) support for the smart parking system’s overall suitability, (2) reservation guarantee violation problems, and (3) the value of using total traveled distance as a metric for the smart parking evaluation. The experience presented in this paper may prove valuable to teams planning the development of a smart parking system for similar contexts.

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