International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 182 - Issue 5 |
Published: Jul 2018 |
Authors: Benjamin Kommey, Ernest O. Addo, Andrew S. Agbemenu |
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Benjamin Kommey, Ernest O. Addo, Andrew S. Agbemenu . A Smart Image Processing-based System for Parking Space Vacancy Management. International Journal of Computer Applications. 182, 5 (Jul 2018), 1-6. DOI=10.5120/ijca2018917540
@article{ 10.5120/ijca2018917540, author = { Benjamin Kommey,Ernest O. Addo,Andrew S. Agbemenu }, title = { A Smart Image Processing-based System for Parking Space Vacancy Management }, journal = { International Journal of Computer Applications }, year = { 2018 }, volume = { 182 }, number = { 5 }, pages = { 1-6 }, doi = { 10.5120/ijca2018917540 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2018 %A Benjamin Kommey %A Ernest O. Addo %A Andrew S. Agbemenu %T A Smart Image Processing-based System for Parking Space Vacancy Management%T %J International Journal of Computer Applications %V 182 %N 5 %P 1-6 %R 10.5120/ijca2018917540 %I Foundation of Computer Science (FCS), NY, USA
Drivers often encounter problems associated with locating empty parking slots in parking areas. This paper presents a smart parking lot management system which operates using image processing. An image processing algorithm is used to detect empty parking areas from aerial images of the parking space. The algorithm processes the image, extracts occupancy information concerning spots, and their positions thereof. The system also reports if individual parking spots are occupied or otherwise. Occupancy information is made available to newly arriving drivers by projecting it unto large displays positioned at vantage points near the vicinity. The smart parking lot management system reduces the stress and time wastage associated with car parking and makes management of such areas less costly.