Cloud-Orchestrated Automated Parking Platform with Real-Time User Notification and Resource Optimization

The current parking infrastructures are under unprecedented strain due to the rapid growth of urban mobility. Due to

their heavy reliance on human intervention and lack of real-time monitoring, conventional parking techniques cause traffic

jams, inefficient use of available space, and user annoyance. In order to facilitate smooth, real-time parking operations, this

paper proposes a Cloud-Based Automated Smart Parking Management System that makes use of cloud orchestration and

Automatic Number Plate Recognition (ANPR). In order to automatically manage vehicle identification and parking length, the

suggested system takes pictures of license plates at entry and exit points, processes them using an ANPR pipeline, and logs

timestamps. Users receive real-time messages about entry confirmation, slot assignment, and leave events from a cloud-based

backend that also stores consolidated parking data and dynamically assigns parking spaces based on availability. The solution

improves operating efficiency and scalability by doing away with physical tokens and manual oversight. The cloud-centric

architecture guarantees dependable data processing, effective use of resources, and the capacity to manage several parking

events at once. The suggested system, which offers enhanced user experience, shorter parking search times, and optimal parking

space usage, is appropriate for implementation in large-scale settings including retail centers, corporate campuses, and smart

city infrastructures