Intelligent Parking Space Detection System using Sobel Edge Detection in Open CV

Automatic parking space detection system is newly introduced in the modern era of intelligent congestion management. It is an emerging field and attracted computer vision researcher to contribute in this arena of technology. Here the proposed system is able to recognize free parking space as well as occupied parking. OpenCV is the latest computer vision technique or a library through which a system can be developed with high level of accuracy. Proposed system is based on Sobel Edge Detection method which is able to recognize the occupied and free space for smart parking which may reduces the human efforts. This system is also useful for alarming if a vehicle is parked in no parking area and inform about the parking space availability at real time with high level of accuracy. In the field of intelligent vehicle and parking management system, accuracy is often important as human convenience required. It is required to get accurate outcomes at real time through which an intelligent parking slot or space detection can be implemented with newly introduced technique.