Smart parking solutions are transforming urban mobility by utilizing technology to tackle the challenges of parking in crowded cities. These solutions incorporate sensors, data analytics, mobile applications, and automation to optimize parking space usage, alleviate congestion, enhance traffic flow, and improve the overall parking experience for drivers. This chapter explores the use of computer vision in smart parking systems, revolutionizing traditional parking practices. It commences with an examination of the fundamental components, advantages, challenges, and future directions of smart parking solutions. The chapter then delves into the principles of computer vision, elucidating how cameras and image processing algorithms detect and analyze parking spaces, vehicles, and movement patterns. It discusses critical elements of a smart parking system, such as camera positioning, image processing methods, and data integration with parking management systems. Emphasis is placed on the significance of real-time data processing in dynamic parking environments, enabling functionalities such as parking availability alerts and occupancy forecasts. Overall, this chapter offers a comprehensive overview with case studies of how computer vision is reshaping parking management, fostering smarter, more efficient, and sustainable cities.