This project describes an advanced automated parking management system that aims to optimize the efficiency of parking and reduce the vehicle flow. It makes use of FPGA and DSP Builder software for processing entry and exit sensor data for controlling servo motors to operate the parking barrier. The real-time display shows parking slot availability. Functionality is further enhanced through advanced technologies like AI-powered camera systems, LiDAR sensors, and blockchain platforms. AI cameras analyze video feeds to detect available spaces with high accuracy, while LiDAR provides real-time occupancy mapping. Blockchain ensures secure transaction tracking. Vehicle-to-infrastructure (V2I) and vehicle-to-vehicle (V2V) communication offer real-time updates to drivers. Autonomous valet parking technologies, including robotic parking systems and self-parking vehicles, further optimize space usage. Moreover, Digital Twin technology creates virtual models of the parking area and allows real-time monitoring, predictive maintenance, and simulation of parking flow for improving design and space utilization. This integrated system ensures efficient, secure, and automated parking management.