SECURED PARKING SYSTEM USING IMAGE PROCESSING

From the very beginning, mankind is trying to make their things safe and secure from risk of theft. After reading in depth various results of car thief-ting for last many years, Commonly those cars are been theft in the parking areas where there was no proper system to protect those cars. This work is to minimize the risk of vehicle thief-ting after creating a secured car parking system. If we talk about today's modern world, many of procedures are available to minimize or stop car thief-ting. Our Thesis is based on software and hardware application which works on real time environment. We are adopting the face detection technique under the umbrella of image processing which will provide security for public and parking places, Although we know image processing is a vast field in today’s era. This application uses OpenCV programming language C# using the Haar-cascade and more precisely canny pruning libraries for the detection of facial features. Few years back, list of procedures are adopted just to make a secure car parking system. Some procedures were by adopting RFID and many was by capturing the car number plate under the umbrella of image processing and result of these procedures was, they were failed to secure due to many factors. For example lack of accuracy in character reorganization of number plate and information about driver. However, our system is reliable as the probability of dodging is least, which provides security and flexibility to the car owners.