AI-powered parking space detection using YOLOv8 and OpenCV. Identifies empty or occupied spots from images or video, supports interactive region selection, real-time detection, and auto-generated analytics reports. Suitable for smart parking systems, academic work, and computer vision learning. Python 3.8+.

This project provides the first publicly available long-distance abnormal parking dataset. It contains 1,000 video sequences, including 200 abnormal videos and 800 normal videos.

Smart Parking System to detect open parking space and sending the information via telegram. Built using matterport MRCNN to detect the car then compute it using IoU method to determine the open parking space.

Real-time parking occupancy monitor with YOLOv8, OpenCV, interactive polygons, uncertainty timing, and JSON configuration.

Parkit is an intelligent parking detection system that uses YOLOv12 deep learning model to detect motorcycles and calculate available parking spaces in real-time

Real-time parking lot monitoring system using YOLOv5 object detection to count and track parked vehicles within designated areas.

Driveway camera perception pipeline: detects parked vehicles via RTSP, runs LPR and make/model classification, and files SF311 blocked-driveway reports with human-in-the-loop approval through a PWA

Sistema de Detecção Automatizada de Infrações de Estacionamento com Visão Computacional e Inteligência Artificial

Custom Keras CNN project for detecting free parking spots in images and videos, with annotated ROI coordinates, trained empty/occupied classifier, and visual prediction outputs.

CNN-based parking slot detection system using TensorFlow and OpenCV for real-time occupancy classification.

Smart Parking Detection - Computer Vision project in AI / ML / GenAI for CSEProjects360 final year project catalog.