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May-2025
eISSN: 2349-5162
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Journal of Emerging Technologies and Innovative Research ( An International Scholarly Open Access Journal, Peer-reviewed, Refereed, Crossref DOI Journal )
Impact factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal
UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
New UGC Peer-Reviewed Rules
ISSN: 2349-5162 | ESTD Year : 2014 Volume 12 | Issue 10 | October 2025
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UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975
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Published Paper ID:
JETIR2505302
Registration ID:
560193
Page Number
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Title
ParkEase: A Real-Time Parking Slot Detection and Management System Using OpenCV and IoT Integration for Smart Urban Mobility
Abstract
In urban setups, the inefficiency of parking manage-
ment systems has caused serious issues, such as traffic congestion,
high fuel usage, and driver stress levels. To counteract these
problems, this paper introduces ParkEase, a novel parking slot
detection and management system based on computer vision and
real-time data processing for efficient urban parking. ParkEase
is a multi-platform system with a mobile app, web app, and
Python backend running on OpenCV for real-time parking slot
detection. The system utilizes high-level image processing to
recognize vacant parking areas and relies on WebSockets for real-
time updates without any delays. Experimental results show that
the system is highly accurate in detecting slots under different
environmental settings and that it can process concurrent user
requests with scalability. ParkEase is not just more convenient
for users but also gives parking managers effective tools for
controlling and monitoring parking spaces. The work advances
smart parking systems by presenting a real-time, scalable solution
that closes the gap between computer vision and user-oriented
application development. The future includes adding IoT sensors
and AI demand prediction to improve the performance of the
system
Key Words
OpenCV, Computer Vision, Parking Cngestion, AWS, Mobile App, YOLO
Cite This Article
"ParkEase: A Real-Time Parking Slot Detection and Management System Using OpenCV and IoT Integration for Smart Urban Mobility", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.c754-c762, May-2025, Available :http://www.jetir.org/papers/JETIR2505302.pdf
ISSN
2349-5162 | Impact Factor 7.95 Calculate by Google Scholar
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Cite This Article
"ParkEase: A Real-Time Parking Slot Detection and Management System Using OpenCV and IoT Integration for Smart Urban Mobility", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. ppc754-c762, May-2025, Available at : http://www.jetir.org/papers/JETIR2505302.pdf
Publication Details
Published Paper ID: JETIR2505302
Registration ID: 560193
Published In: Volume 12 | Issue 5 | Year May-2025
Page No: c754-c762
Country: Thane W, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication
Published Paper URL :: https://www.jetir.org/view?paper=JETIR2505302
Published Paper PDF: https://www.jetir.org/papers/JETIR2505302
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