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Reseach Article

Smart Parking for Slot Occupancy Detection using Prewitt Edge Detection in OpenCV

by Twinkle Singh, Safdar Sardar Khan
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 178 - Number 32
Year of Publication: 2019
Authors: Twinkle Singh, Safdar Sardar Khan
10.5120/ijca2019918997

Twinkle Singh, Safdar Sardar Khan . Smart Parking for Slot Occupancy Detection using Prewitt Edge Detection in OpenCV. International Journal of Computer Applications. 178, 32 ( Jul 2019), 1-6. DOI=10.5120/ijca2019918997

@article{ 10.5120/ijca2019918997,
author = { Twinkle Singh, Safdar Sardar Khan },
title = { Smart Parking for Slot Occupancy Detection using Prewitt Edge Detection in OpenCV },
journal = { International Journal of Computer Applications },
issue_date = { Jul 2019 },
volume = { 178 },
number = { 32 },
month = { Jul },
year = { 2019 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume178/number32/30740-2019918997/ },
doi = { 10.5120/ijca2019918997 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:51:59.135705+05:30
%A Twinkle Singh
%A Safdar Sardar Khan
%T Smart Parking for Slot Occupancy Detection using Prewitt Edge Detection in OpenCV
%J International Journal of Computer Applications
%@ 0975-8887
%V 178
%N 32
%P 1-6
%D 2019
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In the modern era of advanced parking management system, the automatic parking space detection system has been introduced in the new form. This is an emerging area and attracts computer vision researchers to contribute to this field of technology. Proposed system is based on Prewitt Edge Detection method which is able to recognize the occupied and free space parking slots which may reduces the human efforts. In the field of intelligent vehicles and parking management systems, accuracy is often important because human facilities are required. It is necessary to get accurate results at real-time through which an intelligent parking slot or space can be detected which can be implemented with the newly introduced technique. The system is also capable of recognizing that the vehicle has been partially parked, fully parked or wrong parked. There is no need for human surveillance while parking vehicles in real time. The system is capable of classifying vehicles along with humans as well, through which a right decision can be made on a situation where the human or animal has captured the slots. This is a new era of parking management where computer vision plays an important role.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Parking Occupancy Detection OpenCV Prewitt Canny Edge Computer Vision.