A Survey On Keen City Vehicle Positioning Inhabitance Tracking and Managing System

Authors

  • Dr. S. T. Shirkande  S.B. Patil College of Engineering, Vangali, Indapur, Maharashtra, India
  • A. K. Gaikwad  S.B. Patil College of Engineering, Vangali, Indapur, Maharashtra, India
  • P. P. Mahamuni  S.B. Patil College of Engineering, Vangali, Indapur, Maharashtra, India
  • K. M. Morpalle  S.B. Patil College of Engineering, Vangali, Indapur, Maharashtra, India
  • N. S. Shinde  S.B. Patil College of Engineering, Vangali, Indapur, Maharashtra, India

Keywords:

Machine learning, Deep learning , edge detection, coordinate bound pixels, image processing, Keen Parking, Parking space detection, Image Processing.

Abstract

Finding an available parking spot in a congested parking lot can be a daunting and time-consuming task, leading to frustration, traffic congestion, and increased environmental pollution. This problem is exacerbated in urban areas, where parking spaces are in high demand, and traditional methods of parking spot detection fall short in providing efficient solutions. To address this issue, we propose the development of a mobile application that leverages Machine Learning (ML) and Image Processing technologies to assist users in locating vacant parking slots within a specific area. Our Keen City Vehicle Positioning Inhabitance Tracking And Managing System aims to revolutionize the parking experience by providing real-time information about available parking spaces. Through the use of cameras and image processing algorithms, the system continuously monitors the parking lot, identifying occupied and vacant spots. The mobile app, linked to this system, allows users to access up-to-date parking availability information, saving time and reducing the stress associated with parking.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2023-10-30

Issue

Volume 9, Issue 10, September-October-2023

Section

Research Articles

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How to Cite

[1]
Dr. S. T. Shirkande, A. K. Gaikwad, P. P. Mahamuni, K. M. Morpalle, N. S. Shinde, " A Survey On Keen City Vehicle Positioning Inhabitance Tracking and Managing System" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 9, Issue 10, pp.122-127, September-October-2023.