Our proposed solution is a comprehensive AI-driven smart parking management system that combines machine vision, AI algorithms, and data integration to provide real-time monitoring and control of parking spaces in Maribor.
The key components of the solution are:
- Camera-Based Monitoring Using Machine Vision:
Cameras equipped with AI-driven image recognition algorithms will be deployed to monitor individual parking spaces and entry/exit points. These cameras will track parking lot occupancy and vehicle movements without the need for costly physical sensors for each parking space. The system will also use license plate recognition (LPR) to track vehicles entering and leaving parking areas. - Real-Time Data Access for Supervisors and Wardens: The system will feature a centralized dashboard that allows supervisors and wardens to monitor parking availability, detect violations (e.g., unregistered vehicles or overstays), and view live statistics on parking usage. This real-time access will reduce the need for physical patrols and improve the efficiency of parking enforcement.
- Integration with Existing Parking Registration System: Some cities already use an SMS and/or app-based system for parking registration. If possible, our solution will integrate this data with the real-time monitoring system, cross-referencing registration data with actual parking occupancy to improve accuracy and streamline parking management.
- Dynamic Signage and Mobile App for Drivers: Digital signs will be installed at parking lot entrances, displaying real-time information on available parking spaces. Additionally, a mobile app will guide drivers to the nearest available parking spot. The app will be voice-accessible and can be integrated into vehicle navigation systems for hands-free operation.
5. Data Analytics and Reporting: The system will collect and analyze data on parking usage, enabling city officials to generate detailed reports on parking patterns, traffic flows, and environmental impacts. This data can be used for long-term urban planning and to optimize parking lot locations or capacities.
