This paper deals with the development of a model which is designed to detect the vehicle number plates which makes vehicle monitoring, parking management more efficient, this system also measures the size of the vehicle, thereby suggesting an efficient parking space for the vehicle which in turn provides increased safety of the vehicle. With the help of cameras fitted at the entrance object image is captured and measurement is taken as one of the cameras is situated at the top of the vehicle and by using openCV and numpy library, the dimensions of the object are obtained, so that a parking slot can be provided to the vehicle according to its measured size. Whenever the vehicle enters the parking space, an ArUco marker is placed at the entrance as a reference for measurement and with the help of ArUco marker the dimensions of the object can be calculated. The cameras fitted at the entrance gate also captures the images in real-time and then detects the number plate and updates the database. This system works on the technology of Automatic number plate recognition, which uses optical character recognitionto read number plates in real time. To get the parking space there are coloured LEDs (Red, Yellow, Green) present at every parking slot which tells us the vacancy status of that particular parking slot. Vacancy status is detected by ultrasonic sensors fitted the slots. Every slot has two ultrasonic sensors which give quite an efficient result. This system helps in providing the data of the vehicle number plate and also helps their users with the best parking space they can get so that they don't have to wait in lines for a space that has already been taken.

Automatic number plate recognition optical character recognition ultrasonic sensor