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

A B S T R A C T 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. Keywords: Smart Parking Management System Automatic Number Plate Recognition(ANPR) YOLOv8 Paddle OCR Machine Learning CNN (Convolutional Neural Network) Internet of Things (IoT) Firebase Realtime Database Django Framework RFID Authentication OpenCV Embedded Systems Python