Unauthorized Access Control of Vehicle and Smart Parking System Using IOT And ML

This project develops a Smart Gate and Parking Management System that automates vehicle access control and real-time parking monitoring using IoT, AI, and cloud computing. The system uses RFID authentication and AI-based number plate recognition (ANPR) to verify vehicles, infrared sensors to detect parking slot occupancy, and a servo motor to control gate access automatically. Data is synchronized with Firebase and displayed on a Django web dashboard for real-time monitoring. The dual-microcontroller architecture (Arduino UNO + ESP8266 NodeMCU) ensures reliable hardware control and seamless cloud communication. The system achieves 93%+ plate detection accuracy, operates with minimal latency, and eliminates manual parking management while supporting future scalability for multiple gates and expanded facilities.