Sharp Innvotech's AI Smart City Illegal Parking Monitoring System is an state-of-the-art technological framework designed to address the challenges of urban parking congestion and traffic flow blockages in Saudi Arabia's expanding cities. By utilizing advanced computer vision algorithms and machine learning models integrated with municipal camera networks, the solution continuously scans streetscapes, loading bays, public transit lanes, and emergency zones. It detects a wide variety of violations, such as double parking, unauthorized drop-offs, fire hydrant blockages, and sidewalk obstructions, ensuring safety compliance across critical urban corridors. Standard parking enforcement relies heavily on physical traffic patrols, which are often costly, logistically challenging, and unable to maintain constant coverage over dense business districts. Sharp Innvotech's automated framework resolves these inefficiencies by identifying parking infractions within seconds of a vehicle exceeding the allowed time limit. The system captures the vehicle's license plate, stamps the geographical coordinates, and logs the duration of the violation, producing a verified digital record that is immediately accessible to municipal enforcement centers. Through the deployment of this autonomous monitoring solution, city authorities can dramatically reduce traffic delays, secure clear passage for emergency response vehicles, and improve pedestrian safety. The system supports the central aims of Saudi Vision 2030 by promoting the development of highly efficient smart infrastructure, reducing carbon emissions from idling vehicles searching for parking spaces, and ensuring orderly urban environments that enhance the daily lives of citizens and visitors.