The use of artificial intelligence (AI) in parking management systems is reviewed in this study, with a focus on AI-based solutions that do not rely on additional complex infrastructure. As urban areas continue to grow, parking management has become increasingly challenging, with traditional methods often proving inefficient and time-consuming. AI offers a promising solution by automating critical processes, such as parking slot detection for real-time space availability monitoring and license plate recognition (LPR) for vehicle tracking. This study explores how these AI-based models can significantly enhance operational efficiency, improve security, and reduce the time spent searching for parking. It also highlights the benefits of AI-driven systems, including better scalability, cost-effectiveness, and optimized space utilization. Furthermore, the review addresses the limitations and challenges of these systems, such as the need for accurate image and video processing in diverse conditions and ensuring their reliability across varying environments, emphasizing future opportunities for innovation.