Image Handling and Processing for Efficient Parking Space Detection and Navigation Aid

Abstract

This paper aims to develop a robust and flexible algorithm for vacant parking space detections using the image processing capabilities of OpenCV. It removes the need for independent sensors to detect a car and instead, uses real-time images derived from various sources and servers to consider a group of slots together. This greatly decreases the expenses required to design an efficient parking system and increases the flexibility of the operation. This method includes the use of a portable processing system with recognition algorithm and has the option of extracting and importing images to the specified servers. The results can be viewed on a custom website with the option to reserve the particular empty slots and GPS navigations to the selected slots.