Smart Parking Spot Analyzer

A computer vision project for detecting available and occupied parking spaces using Python and OpenCV.

Overview

This project analyzes a parking lot video and detects available and occupied parking spaces in real time. Parking spaces are manually selected using an interactive annotation tool and stored for later use. Each video frame is processed with computer vision techniques to estimate the occupancy of every parking spot and display the number of free and occupied spaces.

Features

• Real-time parking space occupancy detection
• Interactive tool for selecting parking spaces
• Manual parking space annotation and storage using Pickle
• Support for diagonal parking layouts
• Visual indication of occupied and available spaces
• Live counter showing free and occupied parking spots

Technologies

• Python
• OpenCV
• NumPy
• Pickle

Improvements

Unlike the original tutorial, I adapted the project to support diagonal parking spaces (// and \ layouts) instead of only rectangular parking spots. The parking space selection tool was modified to create mirrored polygonal parking slots, allowing the system to analyze angled parking lots more accurately.

Credits

This project was inspired by and developed with the help of Murtaza's Workshop. The original tutorial can be found here: https://www.youtube.com/watch?v=caKnQlCMIYI