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Smart Parking System Using IoT and OpenCV ,fultter application
This project is an IoT and OpenCV-based Smart Parking System designed to make parking easier, faster, and more secure. The system uses IR sensors and Arduino to detect available and occupied parking spaces in real time. Users can create an account through a Flutter mobile application, check parking availability, reserve a slot, view parking time, and make digital payments. OpenCV is used for vehicle number plate detection, while OTP verification provides secure access to reserved parking spaces. Firebase manages user accounts, reservations, payments, and real-time parking data. The system also records vehicle entry and exit times and automatically calculates the parking bill. Overall, this project reduces manual work, saves time, improves security, and provides a convenient parking experience for both users and administrators.
Smart Parking System Using IoT and OpenCV ,fultter application
This project is an IoT and OpenCV-based Smart Parking System designed to make parking easier, faster, and more secure. The system uses IR sensors and Arduino to detect available and occupied parking spaces in real time. Users can create an account through a Flutter mobile application, check parking availability, reserve a slot, view parking time, and make digital payments. OpenCV is used for vehicle number plate detection, while OTP verification provides secure access to reserved parking spaces. Firebase manages user accounts, reservations, payments, and real-time parking data. The system also records vehicle entry and exit times and automatically calculates the parking bill. Overall, this project reduces manual work, saves time, improves security, and provides a convenient parking experience for both users and administrators.