Automobile Parking Space Detection using Open CV

Shravan; Tarun R N; Soumya R; Shwetha; Dr. Nirmala S

doi:10.36948/ijfmr.2025.v07i01.34598

Automobile Parking Space Detection using Open CV

Author(s)	Shravan, Tarun R N, Soumya R, Shwetha, Dr. Nirmala S
Country	India
Abstract	In this work, automatic counting of the parking spaces on behalf of a vehicle is detected using OpenCV. This open-source computer vision library detects and tracks the parking spaces used and unoccupied in real time. The system feeds live videotape from a camera mounted in the parking lot and applies image processing styles to identify vehicles. The crucial approach is grounded on, originally, background deduction for determining if the moving Objects (buses ) are present, followed by figure discovery and morphological processing for bounding the presence of buses in the matching areas of the parking spaces.[1] Following the discovery of vehicles in the terrain the system develops a floorplan of the vacuity of parking spots and checks if the parking spots are in use. Each of the spaces is determined in advance in the system and when a vehicle is linked to be in a space the state of the space is changed to" engaged" and space is set to" available. The state of each parking space is in real time and real-time information about their vacuity is given. This system, besides saving time, also contributes to parking operations becoming much more effective by reducing business backups and directly guiding vehicles to an available spot in a short time.[2] The presented result leverages the power of OpenCV's image processing and object discovery to make an automated, robust, scalable, and scalable platform for parking operations. Because of its real-time monitoring along with its stoner-friendly interface, this system is an effective useful tool to be espoused in small-scale parking lots or large parking lots, optimizing the parking space and the whole process of parking. likewise, it is also a pledge for its farther development, similar in combination with mobile operations, in which machine literacy models may be used, and the perpetration of innovative discovery and tracking functionalities.[4]
Keywords	Keywords: Python, OpenCV, Vehicle Detection, Parking Space Detection, Parking Slot Counter, Image Processing.
Field	Engineering
Published In	Volume 7, Issue 1, January-February 2025
Published On	2025-01-05
Cite This	Automobile Parking Space Detection using Open CV - Shravan, Tarun R N, Soumya R, Shwetha, Dr. Nirmala S - IJFMR Volume 7, Issue 1, January-February 2025. DOI 10.36948/ijfmr.2025.v07i01.34598
DOI	https://doi.org/10.36948/ijfmr.2025.v07i01.34598
Short DOI	https://doi.org/g82hgc

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Automobile Parking Space Detection using Open CV

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