ParkCam – Smart Vision-Based Parking Management

Abstract

The "Smart Parking System using Computer Vision" project aims to revolutionize traditional parking management by incorporating advanced computer vision technology. This project focuses on the development of a system that utilizes real-time video feeds from cameras installed in parking areas. The project employs sophisticated image processing algorithms to detect and track vehicles, accurately identifying available parking spaces.

Through the integration of computer vision, the system distinguishes between occupied and vacant parking spots, providing users with instant updates on parking availability. The project also incorporates machine learning algorithms to enhance accuracy and adaptability, allowing the system to learn from patterns and optimize its performance in different parking scenarios.

The user interface, accessible through a mobile application or web platform, provides real-time information on parking availability and guides users to the nearest vacant spot. This project not only streamlines the parking experience for users but also contributes to efficient traffic flow and reduced congestion in parking areas. The "Smart Parking System using Computer Vision" project showcases the potential of cutting-edge technology in addressing urban mobility challenges and enhancing the overall parking management landscape.

Index terms

Smart Parking System, Computer Vision, Real-time Video Feeds, Image Processing Algorithms, Vehicle Detection, Parking Space Tracking, Occupied and Vacant Parking Spots, Machine Learning Algorithms, User Interface, Mobile Application, Web Platform, Parking Availability, Traffic Flow, Congestion Reduction, Urban Mobility, Parking Management, Technology Integration, Efficiency Optimization.