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International Journal for Research Trends and Innovation
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14
Issue per Year : 12
Volume Published : 10
Issue Published : 115
Article Submitted : 19455
Article Published : 8041
Total Authors : 21252
Total Reviewer : 769
Total Countries : 144
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| Paper Title: | Smart Parking System Based On Computer Vision Techniques |
| Authors Name: | M.Likhitha , G. Kalyani , K. Krishna Jyothi |
| Download E-Certificate: | Download |
| Author Reg. ID: |
IJRTI_187426
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| Published Paper Id: | IJRTI2306131 |
| Published In: | Volume 8 Issue 6, June-2023 |
| DOI: | |
| Abstract: | Smart parking systems are generally IoT based and use sensors to detect available slots in that area. This system can cost a lot of money. These systems are usually automated, but they require regular maintenance to ensure everything is working smoothly. Instead of using sensors for every slot of the parking lot, we just need to install a camera that can capture several slots at a time. Cameras can be installed in any urban area without creating traffic problems. The installation can be done at any time since the device becomes operational in a few minutes without affecting normal parking activities. Once the cameras are functional, we collect the live parking footage to perform cv2 methods and calculate the pixel count, where the change in the pixel count can define if the slot is occupied or not. The results are then uploaded to a cloud database and can be sent to drivers via a web or mobile application in real-time. |
| Keywords: | Computer Vision, OpenCV(cv2), Pixels, Cloud database, Real-Time System |
| Cite Article: | "Smart Parking System Based On Computer Vision Techniques", International Journal of Science & Engineering Development Research (www.ijrti.org), ISSN:2455-2631, Vol.8, Issue 6, page no.880 - 885, June-2023, Available :http://www.ijrti.org/papers/IJRTI2306131.pdf |
| Downloads: | 000205094 |
| ISSN: |
2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016 An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator |
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Published Paper ID: IJRTI2306131
Registration ID:187426
Published In: Volume 8 Issue 6, June-2023
DOI (Digital Object Identifier):
Page No: 880 - 885 Country: Hyderabad , Telangana , India Research Area: Computer Science & Technology Publisher : IJ Publication Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2306131 Published Paper PDF: https://www.ijrti.org/papers/IJRTI2306131 |
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED,
Journal Starting Year (ESTD) : 2016
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