Smart Parking System with Computer Vision

Abstract

Growing urban populations have caused an increase in the demand for effective by-the-hour accommodating facilities. Most of the existing parking management systems are weak at managing the ever-changing needs of today’s urban centres. The development of an innovative smart parking system is discussed in this paper which employs computer vision technology to improve both parking efficiency and user accessibility. The described system combines real-time image processing with the techniques of the neural network to find and control the occupancy of parking spaces. The system collects information about parking space usage, thanks to efficient placement of the cameras in the parking lots, and assists drivers in finding the available parking spaces. The smart parking system was able to achieve better occupancy levels and reduced time in looking for free bays. In addition, the smart parking system has some elements of data analytics, which help in improving the efficiency of utilizing parking space and controlling the supply in the areas with heavy traffic. This technology is a notable improvement in the smart city architecture as one of the ways extends the provision of a practical method of solving the urban parking problem.