Smart Parking

[Out puts.docx](https://github.com/user-attachments/files/24269245/Out.puts.docx) [Uml diagrams.docx](https://github.com/user-attachments/files/24269244/Uml.diagrams.docx) # smart-parking- https://github.com/noorkhokhar99/car-parking-finder 1. Project Title IoT-Based Smart Parking and Vehicle Occupancy Detection System with Mobile Application 2. Project Description The IoT-Based Smart Parking and Vehicle Occupancy System is designed to efficiently monitor parking spaces in real time and provide instant updates to users through a mobile application. This system detects whether parking slots are occupied or vacant using sensors and image processing techniques, sends the data to a cloud server, and displays the live parking status on a mobile app. The primary goal of the project is to reduce parking congestion, save time, and improve user convenience by allowing users to check parking availability before entering a parking area. The system also helps parking administrators manage parking spaces more effectively. The system integrates IoT hardware, cloud services, computer vision (optional), and mobile application development to create a smart, scalable, and real-time parking solution. 3. Project Objectives To detect vehicle presence in parking slots accurately To identify empty and occupied parking spaces in real time To send live parking data to a cloud database To display parking availability on a mobile application To reduce traffic congestion and parking search time To improve efficient utilization of parking spaces 4. System Working (High-Level Flow) Sensors or camera monitor each parking slot Vehicle presence is detected (occupied / empty) Data is sent to cloud server (Firebase / IoT platform) Cloud processes and stores parking status Mobile application fetches real-time data User views available parking slots on the app 5. Functional Requirements A. Parking Slot Detection Detect vehicle presence in each slot Update slot status automatically (Empty / Occupied) Support multiple parking slots B. Cloud Data Management Store real-time parking data Update data instantly when slot status changes Ensure reliable data synchronization C. Mobile Application Display live parking availability Show number of empty and occupied slots Refresh data automatically Simple and user-friendly interface 6. Hardware Requirements Component Description Ultrasonic / IR Sensors Detect vehicle presence Camera (Optional) For image-based detection Microcontroller ESP32 / Arduino / Raspberry Pi Wi-Fi Module Internet connectivity (ESP32 inbuilt) Power Supply 5V / 12V regulated Parking Slot Frame / Model Physical demonstration setup 7. Software Requirements Software Purpose Android Studio Mobile app development Firebase Realtime Database Cloud data storage Firebase Authentication (Optional) User login Python / OpenCV Image processing (if camera-based) Arduino IDE Microcontroller programming VS Code Backend / Python development 8. Technologies Used Internet of Things (IoT) Cloud Computing (Firebase) Mobile Application Development (Android) Computer Vision (Optional) Wireless Communication (Wi-Fi) 9. Advantages Saves time and fuel Reduces traffic congestion Real-time parking updates User-friendly mobile interface Scalable for large parking areas #10. Applications Shopping malls Smart cities Airports Hospitals Corporate parking areas Residential complexes 11. Future Enhancements Slot reservation feature Navigation to nearest empty slot Payment and billing system AI-based vehicle recognition License plate detection #smart parking document link---https://docs.google.com/document/d/1kwMrJE5IIZhQmdHM0dpo3ZQ2KgRRRpy4/edit?usp=sharing&ouid=104028342905149223028&rtpof=true&sd=true