As the number of motor vehicles surges, urban traffic congestion has worsened significantly, with illegal parking emerging as a major contributor to the problem. Recently, Heidelberg, Germany, introduced the 'Urban Scanner' AI parking enforcement system. This system marks a revolutionary leap in parking management efficiency by combining artificial intelligence with multi-sensor technology. Developed by DCX Innovationis, the system is outfitted with high-definition cameras, LiDAR sensors, and millimeter-wave radar. These technologies enable real-time license plate recognition, illegal parking detection, and seamless integration with municipal databases and electronic parking platforms for automated enforcement actions. The system can process and verify approximately 1,500 parked vehicles per hour, boasting an efficiency that is seven times greater than that of manual patrols. Its daily coverage matches the workload of traditional enforcement methods over an entire week. Moreover, the system employs a double-check mechanism to confirm illegal parking, thereby minimizing misjudgments. This approach has led to a 23% reduction in illegal parking incidents in pilot areas. The hardware cost of the system is around €130,000, with installation and commissioning taking just four hours. Compared to traditional methods, operating costs have decreased by 40%, and the expected payback period is between three and five years.