papers and codes about parking slot detection

DMPR-PS: A Novel Approach for Parking-Slot Detection Using Directional Marking-Point Regression

A tool for parking-slot labeling under surround-view image

App that uses real-time AI & CCTV cameras to help drivers find available parking spaces

Parking Management System is used to manage and solve the Parking Problems of the company/Institute. This project is build on Java using NetBeans.

This repository contains a Python project that uses YOLOv8, Roboflow and OpenCV to detect car parking slot occupancy in real time.

YOLOv11 based parking detection system using a RTSP camera.

This project utilizes the custom object detection model to monitor parking spaces in a video feed. It identifies vehicles in the video and overlays polygons representing parking spaces on the frames. The program then calculates the number of occupied and free parking spaces based on the detected vehicles and the predefined parking space polygons.

The parking lot system supports the management of multiple parking lots, each containing parking floors and parking slots. Each parking slot can accommodate specific types of vehicles based on their size and type.

In this project we are trying to implement the information of parking lot as the parking is available or not, display in website or android app. So, it is easy for public to see the parking information at the website.

This project introduces an innovative parking management system driven by the STM32F401VE microcontroller. Experience efficient, hassle-free parking with real-time monitoring and smart features.

Design and Development of an intelligent electronic system for traffic modeling and parking management in urban centers

Python Parking Spot Detection App

A simple scheme of costmap+path planning for low-speed automated parking

(캡스톤디자인2 Dice 팀) 대중교통 결합 P+R 주차장 확인 어플리케이션

arduino projects

repo contains my solutions to various hackathons in which i have participated.

Gesture control car with automatic parking facility

Parking Pixel is a real-time parking detection system that uses computer vision to identify available spaces from video feeds. It allows users to define parking regions and continuously monitors availability. Built with Python and machine learning models, Parking Pixel provides accurate, efficient parking management.